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Autor Wen, Sheng |
Documentos disponibles escritos por este autor (5)
Crear una solicitud de compra Refinar búsquedaAlgorithms and Architectures for Parallel Processing / Wen, Sheng ; Zomaya, Albert ; Yang, Laurence T.
TÃtulo : Algorithms and Architectures for Parallel Processing : 19th International Conference, ICA3PP 2019, Melbourne, VIC, Australia, December 9–11, 2019, Proceedings, Part I / Tipo de documento: documento electrónico Autores: Wen, Sheng, ; Zomaya, Albert, ; Yang, Laurence T., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXII, 715 p. 534 ilustraciones, 191 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-38991-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Matemáticas Algoritmos IngenierÃa Informática Red de computadoras Sistemas operativos (computadoras) Matemática Computacional y Análisis Numérico IngenierÃa Informática y Redes Sistemas operativos Clasificación: 518 Resumen: El conjunto de dos volúmenes LNCS 11944-11945 constituye las actas de la 19.ª Conferencia Internacional sobre Algoritmos y Arquitecturas para Procesamiento Paralelo, ICA3PP 2019, celebrada en Melbourne, Australia, en diciembre de 2019. Los 73 artÃculos completos y 29 breves presentados fueron cuidadosamente revisados ​​y seleccionado entre 251 presentaciones. Los artÃculos están organizados en secciones temáticas sobre: ​​arquitecturas paralelas y distribuidas, sistemas de software y modelos de programación, computación distribuida, paralela y basada en red, big data y sus aplicaciones, algoritmos distribuidos y paralelos, aplicaciones de computación distribuida y paralela, confiabilidad del servicio y Seguridad, Computación IoT y CPS, Modelado y Evaluación de Rendimiento. Nota de contenido: PPS: A Low-Latency and Low-Complexity switching architecture based on packet prefetch and arbitration prediction -- SWR: Using Windowed Reordering to Achieve Fast and Balanced Heuristic for Streaming Vertex-Cut Graph Partitioning -- Flexible Data Flow Architecture for Embedded Hardware Accelerators -- HBL-Sketch: a New Three-tier Sketch for Accurate Network Measurement -- Accelerating Large Integer Multiplication Using Intel AVX-512IFMA -- A Communication-Avoiding Algorithm for Molecular Dynamics Simulation -- Out-of-Core GPU-Accelerated Causal Structure Learning -- Accelerating Lattice Boltzmann Method by Fully Exposing Vectorizable Loops -- A Solution for High Availability Memory Access -- Verication of Microservices Using Metamorphic Testing -- A New Robust and Reversible Watermarking Technique Based on Erasure Code -- Exit-Less Hypercall: Asynchronous System Calls in Virtualized Processes -- Automatic Optimization of Python Skeletal Parallel Programs -- Distributed & Parallel & Network-basedComputing Impromptu Rendezvous Based Multi-Threaded Algorithm for Shortest Lagrangian Path Problem on Road Networks -- FANG: Fast and E cient Successor-State Generation for Heuristic Optimization on GPUs -- DETER: Streaming Graph Partitioning via Combined Degree and Cluster Information -- Which Node Properties Identify the Propagation Source in Networks? -- t/t-Diagnosability of BCube Network -- Strark-H: A Strategy for Spatial Data Storage to Improve Query Efficiency Based on Spark -- Multitask Assignment Algorithm Based on Decision Tree in Spatial Crowdsourcing Environment -- TIMOM: a novel time in uence multi-objective optimization cloud data storage model for business process management -- RTEF-PP: A Robust Trust Evaluation Framework with Privacy Protection for Cloud Services Providers -- A Privacy-Preserving Access Control Scheme with Veri able and Outsourcing Capabilities in Fog-Cloud Computing -- Utility-aware Edge Server Deployment in Mobile Edge Computing -- Predicting Hard Drive Failures for Cloud Storage Systems -- Efficient Pattern Matching on CPU-GPU Heterogeneous Systems -- Improving Performance of Batch Point-to-point Communications by Active Contention Reduction through Congestion-avoiding Message Scheduling -- Applications of Distributed & Parallel Computing -- An Open Identity Authentication Scheme Based on Blockchain -- RBAC-GLA role-based access control gasless architecture of consortium blockchain -- Developing Patrol Strategies for the Cooperative Opportunistic Criminals -- Deep Learning vs. Traditional Probabilistic Models: Case Study on Short Inputs for Password Guessing. . Tipo de medio : Computadora Summary : The two-volume set LNCS 11944-11945 constitutes the proceedings of the 19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019, held in Melbourne, Australia, in December 2019. The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Algorithms and Architectures for Parallel Processing : 19th International Conference, ICA3PP 2019, Melbourne, VIC, Australia, December 9–11, 2019, Proceedings, Part I / [documento electrónico] / Wen, Sheng, ; Zomaya, Albert, ; Yang, Laurence T., . - 1 ed. . - [s.l.] : Springer, 2020 . - XXII, 715 p. 534 ilustraciones, 191 ilustraciones en color.
ISBN : 978-3-030-38991-8
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Matemáticas Algoritmos IngenierÃa Informática Red de computadoras Sistemas operativos (computadoras) Matemática Computacional y Análisis Numérico IngenierÃa Informática y Redes Sistemas operativos Clasificación: 518 Resumen: El conjunto de dos volúmenes LNCS 11944-11945 constituye las actas de la 19.ª Conferencia Internacional sobre Algoritmos y Arquitecturas para Procesamiento Paralelo, ICA3PP 2019, celebrada en Melbourne, Australia, en diciembre de 2019. Los 73 artÃculos completos y 29 breves presentados fueron cuidadosamente revisados ​​y seleccionado entre 251 presentaciones. Los artÃculos están organizados en secciones temáticas sobre: ​​arquitecturas paralelas y distribuidas, sistemas de software y modelos de programación, computación distribuida, paralela y basada en red, big data y sus aplicaciones, algoritmos distribuidos y paralelos, aplicaciones de computación distribuida y paralela, confiabilidad del servicio y Seguridad, Computación IoT y CPS, Modelado y Evaluación de Rendimiento. Nota de contenido: PPS: A Low-Latency and Low-Complexity switching architecture based on packet prefetch and arbitration prediction -- SWR: Using Windowed Reordering to Achieve Fast and Balanced Heuristic for Streaming Vertex-Cut Graph Partitioning -- Flexible Data Flow Architecture for Embedded Hardware Accelerators -- HBL-Sketch: a New Three-tier Sketch for Accurate Network Measurement -- Accelerating Large Integer Multiplication Using Intel AVX-512IFMA -- A Communication-Avoiding Algorithm for Molecular Dynamics Simulation -- Out-of-Core GPU-Accelerated Causal Structure Learning -- Accelerating Lattice Boltzmann Method by Fully Exposing Vectorizable Loops -- A Solution for High Availability Memory Access -- Verication of Microservices Using Metamorphic Testing -- A New Robust and Reversible Watermarking Technique Based on Erasure Code -- Exit-Less Hypercall: Asynchronous System Calls in Virtualized Processes -- Automatic Optimization of Python Skeletal Parallel Programs -- Distributed & Parallel & Network-basedComputing Impromptu Rendezvous Based Multi-Threaded Algorithm for Shortest Lagrangian Path Problem on Road Networks -- FANG: Fast and E cient Successor-State Generation for Heuristic Optimization on GPUs -- DETER: Streaming Graph Partitioning via Combined Degree and Cluster Information -- Which Node Properties Identify the Propagation Source in Networks? -- t/t-Diagnosability of BCube Network -- Strark-H: A Strategy for Spatial Data Storage to Improve Query Efficiency Based on Spark -- Multitask Assignment Algorithm Based on Decision Tree in Spatial Crowdsourcing Environment -- TIMOM: a novel time in uence multi-objective optimization cloud data storage model for business process management -- RTEF-PP: A Robust Trust Evaluation Framework with Privacy Protection for Cloud Services Providers -- A Privacy-Preserving Access Control Scheme with Veri able and Outsourcing Capabilities in Fog-Cloud Computing -- Utility-aware Edge Server Deployment in Mobile Edge Computing -- Predicting Hard Drive Failures for Cloud Storage Systems -- Efficient Pattern Matching on CPU-GPU Heterogeneous Systems -- Improving Performance of Batch Point-to-point Communications by Active Contention Reduction through Congestion-avoiding Message Scheduling -- Applications of Distributed & Parallel Computing -- An Open Identity Authentication Scheme Based on Blockchain -- RBAC-GLA role-based access control gasless architecture of consortium blockchain -- Developing Patrol Strategies for the Cooperative Opportunistic Criminals -- Deep Learning vs. Traditional Probabilistic Models: Case Study on Short Inputs for Password Guessing. . Tipo de medio : Computadora Summary : The two-volume set LNCS 11944-11945 constitutes the proceedings of the 19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019, held in Melbourne, Australia, in December 2019. The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Algorithms and Architectures for Parallel Processing : 19th International Conference, ICA3PP 2019, Melbourne, VIC, Australia, December 9–11, 2019, Proceedings, Part II / Tipo de documento: documento electrónico Autores: Wen, Sheng, ; Zomaya, Albert, ; Yang, Laurence T., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXI, 699 p. 297 ilustraciones, 245 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-38961-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Matemáticas Algoritmos IngenierÃa Informática Red de computadoras Sistemas operativos (computadoras) Matemática Computacional y Análisis Numérico IngenierÃa Informática y Redes Sistemas operativos Clasificación: 518 Resumen: El conjunto de dos volúmenes LNCS 11944-11945 constituye las actas de la 19.ª Conferencia Internacional sobre Algoritmos y Arquitecturas para Procesamiento Paralelo, ICA3PP 2019, celebrada en Melbourne, Australia, en diciembre de 2019. Los 73 artÃculos completos y 29 breves presentados fueron cuidadosamente revisados ​​y seleccionado entre 251 presentaciones. Los artÃculos están organizados en secciones temáticas sobre: ​​arquitecturas paralelas y distribuidas, sistemas de software y modelos de programación, computación distribuida, paralela y basada en red, big data y sus aplicaciones, algoritmos distribuidos y paralelos, aplicaciones de computación distribuida y paralela, confiabilidad del servicio y Seguridad, Computación IoT y CPS, Modelado y Evaluación de Rendimiento. Nota de contenido: PPS: A Low-Latency and Low-Complexity switching architecture based on packet prefetch and arbitration prediction -- SWR: Using Windowed Reordering to Achieve Fast and Balanced Heuristic for Streaming Vertex-Cut Graph Partitioning -- Flexible Data Flow Architecture for Embedded Hardware Accelerators -- HBL-Sketch: a New Three-tier Sketch for Accurate Network Measurement -- Accelerating Large Integer Multiplication Using Intel AVX-512IFMA -- A Communication-Avoiding Algorithm for Molecular Dynamics Simulation -- Out-of-Core GPU-Accelerated Causal Structure Learning -- Accelerating Lattice Boltzmann Method by Fully Exposing Vectorizable Loops -- A Solution for High Availability Memory Access -- Verication of Microservices Using Metamorphic Testing -- A New Robust and Reversible Watermarking Technique Based on Erasure Code -- Exit-Less Hypercall: Asynchronous System Calls in Virtualized Processes -- Automatic Optimization of Python Skeletal Parallel Programs -- Distributed & Parallel & Network-based Computing Impromptu Rendezvous Based Multi-Threaded Algorithm for Shortest Lagrangian Path Problem on Road Networks -- FANG: Fast and E cient Successor-State Generation for Heuristic Optimization on GPUs -- DETER: Streaming Graph Partitioning via Combined Degree and Cluster Information -- Which Node Properties Identify the Propagation Source in Networks? -- t/t-Diagnosability of BCube Network -- Strark-H: A Strategy for Spatial Data Storage to Improve Query Efficiency Based on Spark -- Multitask Assignment Algorithm Based on Decision Tree in Spatial Crowdsourcing Environment -- TIMOM: a novel time in uence multi-objective optimization cloud data storage model for business process management -- RTEF-PP: A Robust Trust Evaluation Framework with Privacy Protection for Cloud Services Providers -- A Privacy-Preserving Access Control Scheme with Veri able and Outsourcing Capabilities in Fog-Cloud Computing -- Utility-aware Edge Server Deployment in Mobile Edge Computing -- Predicting Hard Drive Failures for Cloud Storage Systems -- Efficient Pattern Matching on CPU-GPU Heterogeneous Systems -- Improving Performance of Batch Point-to-point Communications by Active Contention Reduction through Congestion-avoiding Message Scheduling -- Applications of Distributed & Parallel Computing -- An Open Identity Authentication Scheme Based on Blockchain -- RBAC-GLA role-based access control gasless architecture of consortium blockchain -- Developing Patrol Strategies for the Cooperative Opportunistic Criminals -- Deep Learning vs. Traditional Probabilistic Models: Case Study on Short Inputs for Password Guessing. . Tipo de medio : Computadora Summary : The two-volume set LNCS 11944-11945 constitutes the proceedings of the 19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019, held in Melbourne, Australia, in December 2019. The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Algorithms and Architectures for Parallel Processing : 19th International Conference, ICA3PP 2019, Melbourne, VIC, Australia, December 9–11, 2019, Proceedings, Part II / [documento electrónico] / Wen, Sheng, ; Zomaya, Albert, ; Yang, Laurence T., . - 1 ed. . - [s.l.] : Springer, 2020 . - XXI, 699 p. 297 ilustraciones, 245 ilustraciones en color.
ISBN : 978-3-030-38961-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Matemáticas Algoritmos IngenierÃa Informática Red de computadoras Sistemas operativos (computadoras) Matemática Computacional y Análisis Numérico IngenierÃa Informática y Redes Sistemas operativos Clasificación: 518 Resumen: El conjunto de dos volúmenes LNCS 11944-11945 constituye las actas de la 19.ª Conferencia Internacional sobre Algoritmos y Arquitecturas para Procesamiento Paralelo, ICA3PP 2019, celebrada en Melbourne, Australia, en diciembre de 2019. Los 73 artÃculos completos y 29 breves presentados fueron cuidadosamente revisados ​​y seleccionado entre 251 presentaciones. Los artÃculos están organizados en secciones temáticas sobre: ​​arquitecturas paralelas y distribuidas, sistemas de software y modelos de programación, computación distribuida, paralela y basada en red, big data y sus aplicaciones, algoritmos distribuidos y paralelos, aplicaciones de computación distribuida y paralela, confiabilidad del servicio y Seguridad, Computación IoT y CPS, Modelado y Evaluación de Rendimiento. Nota de contenido: PPS: A Low-Latency and Low-Complexity switching architecture based on packet prefetch and arbitration prediction -- SWR: Using Windowed Reordering to Achieve Fast and Balanced Heuristic for Streaming Vertex-Cut Graph Partitioning -- Flexible Data Flow Architecture for Embedded Hardware Accelerators -- HBL-Sketch: a New Three-tier Sketch for Accurate Network Measurement -- Accelerating Large Integer Multiplication Using Intel AVX-512IFMA -- A Communication-Avoiding Algorithm for Molecular Dynamics Simulation -- Out-of-Core GPU-Accelerated Causal Structure Learning -- Accelerating Lattice Boltzmann Method by Fully Exposing Vectorizable Loops -- A Solution for High Availability Memory Access -- Verication of Microservices Using Metamorphic Testing -- A New Robust and Reversible Watermarking Technique Based on Erasure Code -- Exit-Less Hypercall: Asynchronous System Calls in Virtualized Processes -- Automatic Optimization of Python Skeletal Parallel Programs -- Distributed & Parallel & Network-based Computing Impromptu Rendezvous Based Multi-Threaded Algorithm for Shortest Lagrangian Path Problem on Road Networks -- FANG: Fast and E cient Successor-State Generation for Heuristic Optimization on GPUs -- DETER: Streaming Graph Partitioning via Combined Degree and Cluster Information -- Which Node Properties Identify the Propagation Source in Networks? -- t/t-Diagnosability of BCube Network -- Strark-H: A Strategy for Spatial Data Storage to Improve Query Efficiency Based on Spark -- Multitask Assignment Algorithm Based on Decision Tree in Spatial Crowdsourcing Environment -- TIMOM: a novel time in uence multi-objective optimization cloud data storage model for business process management -- RTEF-PP: A Robust Trust Evaluation Framework with Privacy Protection for Cloud Services Providers -- A Privacy-Preserving Access Control Scheme with Veri able and Outsourcing Capabilities in Fog-Cloud Computing -- Utility-aware Edge Server Deployment in Mobile Edge Computing -- Predicting Hard Drive Failures for Cloud Storage Systems -- Efficient Pattern Matching on CPU-GPU Heterogeneous Systems -- Improving Performance of Batch Point-to-point Communications by Active Contention Reduction through Congestion-avoiding Message Scheduling -- Applications of Distributed & Parallel Computing -- An Open Identity Authentication Scheme Based on Blockchain -- RBAC-GLA role-based access control gasless architecture of consortium blockchain -- Developing Patrol Strategies for the Cooperative Opportunistic Criminals -- Deep Learning vs. Traditional Probabilistic Models: Case Study on Short Inputs for Password Guessing. . Tipo de medio : Computadora Summary : The two-volume set LNCS 11944-11945 constitutes the proceedings of the 19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019, held in Melbourne, Australia, in December 2019. The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Cyberspace Safety and Security : 9th International Symposium, CSS 2017, Xi'an China, October 23–25, 2017, Proceedings / Tipo de documento: documento electrónico Autores: Wen, Sheng, ; Wu, Wei, ; Castiglione, Aniello, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XIV, 532 p. 182 ilustraciones ISBN/ISSN/DL: 978-3-319-69471-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Protección de datos Red de computadoras CriptografÃa Cifrado de datos (Informática) Computadoras y civilización Seguridad de datos e información Redes de comunicación informática CriptologÃa Computadoras y sociedad Clasificación: 005.8 Ciencia de los computadores (Programación, programas de sistemas) Resumen: Este libro constituye las actas del 9º Simposio Internacional sobre Seguridad en el Ciberespacio, CSS 2017, celebrado en Xi''an, China, en octubre de 2017. Los 31 artÃculos completos y 10 artÃculos breves presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 120 presentaciones. . Los artÃculos se centran en la seguridad del ciberespacio, como la autenticación, el control de acceso, la disponibilidad, la integridad, la privacidad, la confidencialidad, la confiabilidad y las cuestiones de sostenibilidad del ciberespacio. Nota de contenido: Detection of lurkers in Online Social Networks -- Static Taint Analysis Method for Intent Injection Vulnerability in Android Applications -- Achieving Differential Privacy of Data Disclosure from Non-Intrusive Load Monitoring in Smart Grid -- Protecting in-memory data cache with secure enclaves in untrusted cloud -- A New Way for Extracting Region of Interest from Palmprint by Detecting Key Points -- An Anonymization Method to Improve Data Utility for Classification -- Efficient Privacy Preserving Multi-factor Ranking with Approximate Search over Encrypted Big Cloud Data -- A Fair Three-party Contract Singing Protocol Based on Blockchain -- Securely Outsourcing Decentralized Multi-authority Attribute Based Signature -- Efficient CCA2 Secure Revocable Multi-Authority Large-Universe Attribute-Based Encryption -- CloudDPI: Cloud-based Privacy-preserving Deep Packet Inspection via Reversible Sketch -- Cloud Data Integrity Checking with Deduplication for Confidential Data Storage -- Noisy Smoothing Image Source Identification -- Supporting User Authorization Queries in RBAC Systems by Role-Permission Reassignment -- An Information Theory Based Approach for Identifying Inuential Spreaders in Temporal Networks -- Privacy-preserving Comparable Encryption Scheme in Cloud Computing -- Detecting Malicious Nodes in Medical Smartphone Networks through Euclidean Distance-based Behavioral Profiling -- Two-phase Locality-Sensitive Hashing for Privacy-preserving Distributed Service Recommendation -- Trusted Industry Control System based on Hardware Security Module -- A DP Canopy K-means Algorithm for Privacy Preservation of Hadoop Platform -- On Using Wearable Devices to Steal Your Passwords: A Fuzzy Inference Approach -- HypTracker: A Hypervisor to Detect Malwares through System Call Analysis on ARM -- A Fibonacci based batch auditing protocol for cloud data -- A WeChat User Geolocating Algorithm Based on the Relation Between Reported and Actual Distance -- An Online Approach to Defeating Return-Oriented-Programming Attacks -- An Improved Authentication Scheme for the Integrated EPR Information System -- KGBIAC:Knowledge Graph Based Intelligent Alert Correlation Framework -- A Privacy-Preserving Framework for Collaborative Intrusion Detection Networks through Fog Computing -- Predicting Vulnerable Software Components using software network graph -- My Smartphone Knows Your Health Data: Exploiting Android-Based Deception Attacks Against Smartbands -- A novel image encryption scheme using Josephus permutation and image Filtering -- Modeling and Hopf bifurcation analysis of benign worms with quarantine strategy -- Accountable Multi-Authority Ciphertext-Policy Attribute-Based Encryption without Key Escrow and Key Abuse -- Optimization of Cloud Workow Scheduling Based on Balanced Clustering -- DexPro: A Bytecode Level Code Protection System for Android Applications -- Privacy Preserving Authenticating and Billing Scheme for Video Streaming Service -- Secure Role-based Access Control over Outsourced EMRs against Unwanted Leakage -- Users' Perceived Control, Trust and Expectation on Privacy Settings of Smartphone.  . Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 9th International Symposium on Cyberspace Safety and Security, CSS 2017, held in Xi'an, China in October 2017. The 31 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 120 submissions. The papers focus on cyberspace safety and security such as authentication, access control, availability, integrity, privacy, confidentiality, dependability and sustainability issues of cyberspace. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Cyberspace Safety and Security : 9th International Symposium, CSS 2017, Xi'an China, October 23–25, 2017, Proceedings / [documento electrónico] / Wen, Sheng, ; Wu, Wei, ; Castiglione, Aniello, . - 1 ed. . - [s.l.] : Springer, 2017 . - XIV, 532 p. 182 ilustraciones.
ISBN : 978-3-319-69471-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Protección de datos Red de computadoras CriptografÃa Cifrado de datos (Informática) Computadoras y civilización Seguridad de datos e información Redes de comunicación informática CriptologÃa Computadoras y sociedad Clasificación: 005.8 Ciencia de los computadores (Programación, programas de sistemas) Resumen: Este libro constituye las actas del 9º Simposio Internacional sobre Seguridad en el Ciberespacio, CSS 2017, celebrado en Xi''an, China, en octubre de 2017. Los 31 artÃculos completos y 10 artÃculos breves presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 120 presentaciones. . Los artÃculos se centran en la seguridad del ciberespacio, como la autenticación, el control de acceso, la disponibilidad, la integridad, la privacidad, la confidencialidad, la confiabilidad y las cuestiones de sostenibilidad del ciberespacio. Nota de contenido: Detection of lurkers in Online Social Networks -- Static Taint Analysis Method for Intent Injection Vulnerability in Android Applications -- Achieving Differential Privacy of Data Disclosure from Non-Intrusive Load Monitoring in Smart Grid -- Protecting in-memory data cache with secure enclaves in untrusted cloud -- A New Way for Extracting Region of Interest from Palmprint by Detecting Key Points -- An Anonymization Method to Improve Data Utility for Classification -- Efficient Privacy Preserving Multi-factor Ranking with Approximate Search over Encrypted Big Cloud Data -- A Fair Three-party Contract Singing Protocol Based on Blockchain -- Securely Outsourcing Decentralized Multi-authority Attribute Based Signature -- Efficient CCA2 Secure Revocable Multi-Authority Large-Universe Attribute-Based Encryption -- CloudDPI: Cloud-based Privacy-preserving Deep Packet Inspection via Reversible Sketch -- Cloud Data Integrity Checking with Deduplication for Confidential Data Storage -- Noisy Smoothing Image Source Identification -- Supporting User Authorization Queries in RBAC Systems by Role-Permission Reassignment -- An Information Theory Based Approach for Identifying Inuential Spreaders in Temporal Networks -- Privacy-preserving Comparable Encryption Scheme in Cloud Computing -- Detecting Malicious Nodes in Medical Smartphone Networks through Euclidean Distance-based Behavioral Profiling -- Two-phase Locality-Sensitive Hashing for Privacy-preserving Distributed Service Recommendation -- Trusted Industry Control System based on Hardware Security Module -- A DP Canopy K-means Algorithm for Privacy Preservation of Hadoop Platform -- On Using Wearable Devices to Steal Your Passwords: A Fuzzy Inference Approach -- HypTracker: A Hypervisor to Detect Malwares through System Call Analysis on ARM -- A Fibonacci based batch auditing protocol for cloud data -- A WeChat User Geolocating Algorithm Based on the Relation Between Reported and Actual Distance -- An Online Approach to Defeating Return-Oriented-Programming Attacks -- An Improved Authentication Scheme for the Integrated EPR Information System -- KGBIAC:Knowledge Graph Based Intelligent Alert Correlation Framework -- A Privacy-Preserving Framework for Collaborative Intrusion Detection Networks through Fog Computing -- Predicting Vulnerable Software Components using software network graph -- My Smartphone Knows Your Health Data: Exploiting Android-Based Deception Attacks Against Smartbands -- A novel image encryption scheme using Josephus permutation and image Filtering -- Modeling and Hopf bifurcation analysis of benign worms with quarantine strategy -- Accountable Multi-Authority Ciphertext-Policy Attribute-Based Encryption without Key Escrow and Key Abuse -- Optimization of Cloud Workow Scheduling Based on Balanced Clustering -- DexPro: A Bytecode Level Code Protection System for Android Applications -- Privacy Preserving Authenticating and Billing Scheme for Video Streaming Service -- Secure Role-based Access Control over Outsourced EMRs against Unwanted Leakage -- Users' Perceived Control, Trust and Expectation on Privacy Settings of Smartphone.  . Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 9th International Symposium on Cyberspace Safety and Security, CSS 2017, held in Xi'an, China in October 2017. The 31 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 120 submissions. The papers focus on cyberspace safety and security such as authentication, access control, availability, integrity, privacy, confidentiality, dependability and sustainability issues of cyberspace. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Malicious Attack Propagation and Source Identification Tipo de documento: documento electrónico Autores: Jiang, Jiaojiao, ; Wen, Sheng, ; Liu, Bo, ; Yu, Shui, ; Xiang, Yang, ; Zhou, Wanlei, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XII, 192 p. 106 ilustraciones, 37 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-02179-5 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Protección de datos Red de computadoras Telecomunicación Seguridad de datos e información Redes de comunicación informática IngenierÃa en Comunicaciones Redes Clasificación: 005.8 Ciencia de los computadores (Programación, programas de sistemas) Resumen: Este libro cubre y hace cuatro contribuciones principales: 1) analizar y estudiar los pros y los contras de los enfoques actuales para identificar fuentes de rumores en redes complejas; 2) proponer un enfoque novedoso para identificar fuentes de rumores en redes que varÃan en el tiempo; 3) desarrollar un enfoque rápido para identificar múltiples fuentes de rumores; 4) proponer un método comunitario para superar el problema de escalabilidad en esta área de investigación. Estas contribuciones permiten que la identificación de las fuentes de los rumores se aplique de forma eficaz en redes del mundo real y, en última instancia, disminuyan los daños causados ​​por los rumores, algo que los autores ilustran rigurosamente en este libro. En el mundo moderno, la ubicuidad de las redes nos ha hecho vulnerables a diversos riesgos. Por ejemplo, los virus se propagan por Internet e infectan millones de computadoras. La información errónea se difunde increÃblemente rápido en las redes sociales en lÃnea, como Facebook y Twitter. Las enfermedades infecciosas, como el SARS, el H1N1 o el Ébola, se han extendido geográficamente y han matado a cientos de miles de personas. En esencia, todas estas situaciones pueden modelarse como un rumor que se propaga a través de una red, donde el objetivo es encontrar la fuente del rumor para controlar y prevenir los riesgos de la red. Hasta ahora, se ha realizado un trabajo extenso para desarrollar nuevos enfoques para identificar eficazmente las fuentes de los rumores. Sin embargo, los enfoques actuales todavÃa adolecen de debilidades crÃticas. El más grave es el complejo proceso de difusión espaciotemporal de rumores en redes que varÃan en el tiempo, que es el cuello de botella de los enfoques actuales. El segundo problema radica en la costosa complejidad computacional que supone identificar múltiples fuentes de rumores. La tercera cuestión importante es la enorme escala de las redes subyacentes, lo que dificulta el desarrollo de estrategias eficientes para identificar de forma rápida y precisa las fuentes de los rumores. Estas debilidades impiden que la identificación de fuentes de rumores se aplique en una gama más amplia de aplicaciones del mundo real. Este libro tiene como objetivo analizar y abordar estas cuestiones para hacer que la identificación de las fuentes de los rumores sea más eficaz y aplicable en el mundo real. Los autores proponen una novedosa estrategia de difusión inversa para reducir la escala de fuentes sospechosas, lo que promueve drásticamente la eficiencia de su método. Luego, los autores desarrollan un estimador de máxima verosimilitud, que puede identificar la verdadera fuente de los sospechosos con alta precisión. Para la cuestión de la escalabilidad en la identificación de fuentes de rumores, los autores exploran técnicas de sensores y desarrollan un método basado en la estructura comunitaria. Luego, los autores aprovechan la correlación lineal entre el tiempo de difusión del rumor y la distancia de infección y desarrollan un método rápido para localizar la fuente de difusión del rumor. El análisis teórico demuestra la eficiencia del método propuesto y los resultados del experimento verifican las ventajas significativas del método propuesto en redes a gran escala. Este libro está dirigido a estudiantes de grado y posgrado que estudian informática y redes. Investigadores y profesionales que trabajan en seguridad de redes,Los modelos de propagación y otros temas relacionados también estarán interesados ​​en este libro. Nota de contenido: 1 Introduction -- 2 Preliminary of Modeling Malicious Attack Propagation -- 3 User Influence in the Propagation of Malicious Attacks -- 4 Restrain Malicious Attack Propagation -- 5 Preliminary of Identifying Propagation Sources -- 6 Source Identification Under Complete Observations: A Maximum Likelihood (ML) Source Estimator -- 7 Source Identification Under Snapshots: A Sample Path Based Source Estimator -- 8 Source Identification Under Sensor Observations: A Gaussian Source Estimator -- 9 Comparative Study and Numerical Analysis -- 10 Identifying Propagation Source in Time-varying Networks -- 11 Identifying Multiple Propagation Sources -- 12 Identifying Propagation Source in Large-scale Networks -- 13 Future Directions and Conclusion. Tipo de medio : Computadora Summary : This book covers and makes four major contributions: 1) analyzing and surveying the pros and cons of current approaches for identifying rumor sources on complex networks; 2) proposing a novel approach to identify rumor sources in time-varying networks; 3) developing a fast approach to identify multiple rumor sources; 4) proposing a community-based method to overcome the scalability issue in this research area. These contributions enable rumor source identification to be applied effectively in real-world networks, and eventually diminish rumor damages, which the authors rigorously illustrate in this book. In the modern world, the ubiquity of networks has made us vulnerable to various risks. For instance, viruses propagate throughout the Internet and infect millions of computers. Misinformation spreads incredibly fast in online social networks, such as Facebook and Twitter. Infectious diseases, such as SARS, H1N1 or Ebola, have spread geographically and killed hundreds of thousands people. In essence, all of these situations can be modeled as a rumor spreading through a network, where the goal is to find the source of the rumor so as to control and prevent network risks. So far, extensive work has been done to develop new approaches to effectively identify rumor sources. However, current approaches still suffer from critical weaknesses. The most serious one is the complex spatiotemporal diffusion process of rumors in time-varying networks, which is the bottleneck of current approaches. The second problem lies in the expensively computational complexity of identifying multiple rumor sources. The third important issue is the huge scale of the underlying networks, which makes it difficult to develop efficient strategies to quickly and accurately identify rumor sources. These weaknesses prevent rumor source identification from being applied in a broader range of real-world applications. This book aims to analyze and address these issuesto make rumor source identification more effective and applicable in the real world. The authors propose a novel reverse dissemination strategy to narrow down the scale of suspicious sources, which dramatically promotes the efficiency of their method. The authors then develop a Maximum-likelihood estimator, which can pin point the true source from the suspects with high accuracy. For the scalability issue in rumor source identification, the authors explore sensor techniques and develop a community structure based method. Then the authors take the advantage of the linear correlation between rumor spreading time and infection distance, and develop a fast method to locate the rumor diffusion source. Theoretical analysis proves the efficiency of the proposed method, and the experiment results verify the significant advantages of the proposed method in large-scale networks. This book targets graduate and post-graduate students studying computer science and networking. Researchers and professionals working in network security, propagation models and other related topics, will also be interested in this book. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Malicious Attack Propagation and Source Identification [documento electrónico] / Jiang, Jiaojiao, ; Wen, Sheng, ; Liu, Bo, ; Yu, Shui, ; Xiang, Yang, ; Zhou, Wanlei, . - 1 ed. . - [s.l.] : Springer, 2019 . - XII, 192 p. 106 ilustraciones, 37 ilustraciones en color.
ISBN : 978-3-030-02179-5
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Protección de datos Red de computadoras Telecomunicación Seguridad de datos e información Redes de comunicación informática IngenierÃa en Comunicaciones Redes Clasificación: 005.8 Ciencia de los computadores (Programación, programas de sistemas) Resumen: Este libro cubre y hace cuatro contribuciones principales: 1) analizar y estudiar los pros y los contras de los enfoques actuales para identificar fuentes de rumores en redes complejas; 2) proponer un enfoque novedoso para identificar fuentes de rumores en redes que varÃan en el tiempo; 3) desarrollar un enfoque rápido para identificar múltiples fuentes de rumores; 4) proponer un método comunitario para superar el problema de escalabilidad en esta área de investigación. Estas contribuciones permiten que la identificación de las fuentes de los rumores se aplique de forma eficaz en redes del mundo real y, en última instancia, disminuyan los daños causados ​​por los rumores, algo que los autores ilustran rigurosamente en este libro. En el mundo moderno, la ubicuidad de las redes nos ha hecho vulnerables a diversos riesgos. Por ejemplo, los virus se propagan por Internet e infectan millones de computadoras. La información errónea se difunde increÃblemente rápido en las redes sociales en lÃnea, como Facebook y Twitter. Las enfermedades infecciosas, como el SARS, el H1N1 o el Ébola, se han extendido geográficamente y han matado a cientos de miles de personas. En esencia, todas estas situaciones pueden modelarse como un rumor que se propaga a través de una red, donde el objetivo es encontrar la fuente del rumor para controlar y prevenir los riesgos de la red. Hasta ahora, se ha realizado un trabajo extenso para desarrollar nuevos enfoques para identificar eficazmente las fuentes de los rumores. Sin embargo, los enfoques actuales todavÃa adolecen de debilidades crÃticas. El más grave es el complejo proceso de difusión espaciotemporal de rumores en redes que varÃan en el tiempo, que es el cuello de botella de los enfoques actuales. El segundo problema radica en la costosa complejidad computacional que supone identificar múltiples fuentes de rumores. La tercera cuestión importante es la enorme escala de las redes subyacentes, lo que dificulta el desarrollo de estrategias eficientes para identificar de forma rápida y precisa las fuentes de los rumores. Estas debilidades impiden que la identificación de fuentes de rumores se aplique en una gama más amplia de aplicaciones del mundo real. Este libro tiene como objetivo analizar y abordar estas cuestiones para hacer que la identificación de las fuentes de los rumores sea más eficaz y aplicable en el mundo real. Los autores proponen una novedosa estrategia de difusión inversa para reducir la escala de fuentes sospechosas, lo que promueve drásticamente la eficiencia de su método. Luego, los autores desarrollan un estimador de máxima verosimilitud, que puede identificar la verdadera fuente de los sospechosos con alta precisión. Para la cuestión de la escalabilidad en la identificación de fuentes de rumores, los autores exploran técnicas de sensores y desarrollan un método basado en la estructura comunitaria. Luego, los autores aprovechan la correlación lineal entre el tiempo de difusión del rumor y la distancia de infección y desarrollan un método rápido para localizar la fuente de difusión del rumor. El análisis teórico demuestra la eficiencia del método propuesto y los resultados del experimento verifican las ventajas significativas del método propuesto en redes a gran escala. Este libro está dirigido a estudiantes de grado y posgrado que estudian informática y redes. Investigadores y profesionales que trabajan en seguridad de redes,Los modelos de propagación y otros temas relacionados también estarán interesados ​​en este libro. Nota de contenido: 1 Introduction -- 2 Preliminary of Modeling Malicious Attack Propagation -- 3 User Influence in the Propagation of Malicious Attacks -- 4 Restrain Malicious Attack Propagation -- 5 Preliminary of Identifying Propagation Sources -- 6 Source Identification Under Complete Observations: A Maximum Likelihood (ML) Source Estimator -- 7 Source Identification Under Snapshots: A Sample Path Based Source Estimator -- 8 Source Identification Under Sensor Observations: A Gaussian Source Estimator -- 9 Comparative Study and Numerical Analysis -- 10 Identifying Propagation Source in Time-varying Networks -- 11 Identifying Multiple Propagation Sources -- 12 Identifying Propagation Source in Large-scale Networks -- 13 Future Directions and Conclusion. Tipo de medio : Computadora Summary : This book covers and makes four major contributions: 1) analyzing and surveying the pros and cons of current approaches for identifying rumor sources on complex networks; 2) proposing a novel approach to identify rumor sources in time-varying networks; 3) developing a fast approach to identify multiple rumor sources; 4) proposing a community-based method to overcome the scalability issue in this research area. These contributions enable rumor source identification to be applied effectively in real-world networks, and eventually diminish rumor damages, which the authors rigorously illustrate in this book. In the modern world, the ubiquity of networks has made us vulnerable to various risks. For instance, viruses propagate throughout the Internet and infect millions of computers. Misinformation spreads incredibly fast in online social networks, such as Facebook and Twitter. Infectious diseases, such as SARS, H1N1 or Ebola, have spread geographically and killed hundreds of thousands people. In essence, all of these situations can be modeled as a rumor spreading through a network, where the goal is to find the source of the rumor so as to control and prevent network risks. So far, extensive work has been done to develop new approaches to effectively identify rumor sources. However, current approaches still suffer from critical weaknesses. The most serious one is the complex spatiotemporal diffusion process of rumors in time-varying networks, which is the bottleneck of current approaches. The second problem lies in the expensively computational complexity of identifying multiple rumor sources. The third important issue is the huge scale of the underlying networks, which makes it difficult to develop efficient strategies to quickly and accurately identify rumor sources. These weaknesses prevent rumor source identification from being applied in a broader range of real-world applications. This book aims to analyze and address these issuesto make rumor source identification more effective and applicable in the real world. The authors propose a novel reverse dissemination strategy to narrow down the scale of suspicious sources, which dramatically promotes the efficiency of their method. The authors then develop a Maximum-likelihood estimator, which can pin point the true source from the suspects with high accuracy. For the scalability issue in rumor source identification, the authors explore sensor techniques and develop a community structure based method. Then the authors take the advantage of the linear correlation between rumor spreading time and infection distance, and develop a fast method to locate the rumor diffusion source. Theoretical analysis proves the efficiency of the proposed method, and the experiment results verify the significant advantages of the proposed method in large-scale networks. This book targets graduate and post-graduate students studying computer science and networking. Researchers and professionals working in network security, propagation models and other related topics, will also be interested in this book. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Mobile Networks and Management : 9th International Conference, MONAMI 2017, Melbourne, Australia, December 13-15, 2017, Proceedings Tipo de documento: documento electrónico Autores: Hu, Jiankun, ; Khalil, Ibrahim, ; Tari, Zahir, ; Wen, Sheng, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XIII, 392 p. 112 ilustraciones ISBN/ISSN/DL: 978-3-319-90775-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Red de computadoras Protección de datos Computadoras y civilización Software de la aplicacion Computadoras Propósitos especiales CriptografÃa Cifrado de datos (Informática) Redes de comunicación informática Seguridad de datos e información Computadoras y sociedad Aplicaciones informáticas y de sistemas de información Sistemas de propósito especial y basados ​​en aplicaciones CriptologÃa Clasificación: 004.6 Ciencia de los computadores (Interfaces y comunicaciones) Resumen: Este libro constituye las actas arbitradas posteriores a la conferencia de la 9.ª Conferencia Internacional sobre Gestión y Redes Móviles, MONAMI 2017, celebrada en Melbourne, Australia, en diciembre de 2017. Los 30 artÃculos completos revisados ​​fueron cuidadosamente revisados ​​y seleccionados entre 43 presentaciones. Los artÃculos abordan temas en el área de informática móvil, redes inalámbricas y gestión. Nota de contenido: Offloading of Fog Data Networks with Network Coded Cooperative D2D Communications -- Persistent vs Service IDs in Android: Session Fingerprinting from Apps -- Towards Developing Network forensic mechanism for Botnet Activities in the IoT based on Machine Learning Techniques -- Performance Comparison of Distributed Pattern Matching Algorithms on Hadoop MapReduce Framework -- Robust Fingerprint Matching Based on Convolutional Neural Networks -- A Personalized Multi-Keyword Ranked Search Method over Encrypted Cloud Data -- Application of Fuzzy Comprehensive Evaluation Method for Reservoir Well Logging Interpretation While Drilling -- Factor Effects for Routing in a Delay-tolerant Wireless Sensor Network for Lake Environment Monitoring -- Estimating public opinion in social media content using aspect-based opinion mining -- A Robust Contactless Fingerprint Enhancement Algorithm -- Designing Anomaly Detection System for Cloud Servers by Frequency Domain Features of System Call Identifiers and MachineLearning -- A Variant of BLS Signature Scheme With Tight Security Reduction -- Quantum authentication scheme based on fingerprintencoded graph states -- Cooperative Information Security/ Cybersecurity Curriculum Development -- An Energy Saving Mechanism based on Vacation Queuing Theory in Data Center Networks -- Homomorphic Evaluation of Database Queries -- A Cache-aware Congestion Control for Reliable Transport in Wireless Sensor Networks -- A New Lightweight Mutual Authentication Protocol to Secure Real Time Tracking of Radioactive Sources -- Fog Computing as a Critical Link between a Central Cloud and IoT in Support of Fast Discovery of New Hydrocarbon Reservoirs -- Performance Assessment of Cloud Migrations from Network and Application Point of View -- A Cloud Service Enhanced Method Supporting Context-aware Applications -- Application of 3D Delaunay Triangulation in Fingerprint Authentication System -- A New Lightweight Mutual Authentication Protocol to Secure Real Time Tracking of Radioactive Sources -- Fog Computing as a Critical Link between a Central Cloud and IoT in Support of Fast Discovery of New Hydrocarbon Reservoirs -- Performance Assessment of Cloud Migrations from Network and Application Point of View -- A Cloud Service Enhanced Method Supporting Context-aware Applications -- Application of 3D Delaunay Triangulation in Fingerprint Authentication System -- The Public Verifiability of Public Key Encryption with Keyword Search -- Malicious Bitcoin Transaction Tracing Using Incidence -- Relation Clustering -- Cryptanalysis of Salsa and ChaCha: Revisited -- CloudShare: Towards a Cost-Efficient and Privacy-Preserving Alliance Cloud Using Permissioned Blockchains -- Probability Risk Identification Based Intrusion Detection System for SCADA Systems -- Anonymizing k-NN Classification on MapReduce -- A Cancellable Ranking based Hashing Method for Fingerprint Template Protection. Tipo de medio : Computadora Summary : This book constitutes the refereed post-conference proceedings of the 9th International Conference on Mobile Networks and Management, MONAMI 2017, held in Melbourne, Australia, in December 2017. The 30 revised full papers were carefully reviewed and selected from 43 submissions. The papers handle topics in the area of mobile computing, wireless networking and management. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Mobile Networks and Management : 9th International Conference, MONAMI 2017, Melbourne, Australia, December 13-15, 2017, Proceedings [documento electrónico] / Hu, Jiankun, ; Khalil, Ibrahim, ; Tari, Zahir, ; Wen, Sheng, . - 1 ed. . - [s.l.] : Springer, 2018 . - XIII, 392 p. 112 ilustraciones.
ISBN : 978-3-319-90775-8
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Red de computadoras Protección de datos Computadoras y civilización Software de la aplicacion Computadoras Propósitos especiales CriptografÃa Cifrado de datos (Informática) Redes de comunicación informática Seguridad de datos e información Computadoras y sociedad Aplicaciones informáticas y de sistemas de información Sistemas de propósito especial y basados ​​en aplicaciones CriptologÃa Clasificación: 004.6 Ciencia de los computadores (Interfaces y comunicaciones) Resumen: Este libro constituye las actas arbitradas posteriores a la conferencia de la 9.ª Conferencia Internacional sobre Gestión y Redes Móviles, MONAMI 2017, celebrada en Melbourne, Australia, en diciembre de 2017. Los 30 artÃculos completos revisados ​​fueron cuidadosamente revisados ​​y seleccionados entre 43 presentaciones. Los artÃculos abordan temas en el área de informática móvil, redes inalámbricas y gestión. Nota de contenido: Offloading of Fog Data Networks with Network Coded Cooperative D2D Communications -- Persistent vs Service IDs in Android: Session Fingerprinting from Apps -- Towards Developing Network forensic mechanism for Botnet Activities in the IoT based on Machine Learning Techniques -- Performance Comparison of Distributed Pattern Matching Algorithms on Hadoop MapReduce Framework -- Robust Fingerprint Matching Based on Convolutional Neural Networks -- A Personalized Multi-Keyword Ranked Search Method over Encrypted Cloud Data -- Application of Fuzzy Comprehensive Evaluation Method for Reservoir Well Logging Interpretation While Drilling -- Factor Effects for Routing in a Delay-tolerant Wireless Sensor Network for Lake Environment Monitoring -- Estimating public opinion in social media content using aspect-based opinion mining -- A Robust Contactless Fingerprint Enhancement Algorithm -- Designing Anomaly Detection System for Cloud Servers by Frequency Domain Features of System Call Identifiers and MachineLearning -- A Variant of BLS Signature Scheme With Tight Security Reduction -- Quantum authentication scheme based on fingerprintencoded graph states -- Cooperative Information Security/ Cybersecurity Curriculum Development -- An Energy Saving Mechanism based on Vacation Queuing Theory in Data Center Networks -- Homomorphic Evaluation of Database Queries -- A Cache-aware Congestion Control for Reliable Transport in Wireless Sensor Networks -- A New Lightweight Mutual Authentication Protocol to Secure Real Time Tracking of Radioactive Sources -- Fog Computing as a Critical Link between a Central Cloud and IoT in Support of Fast Discovery of New Hydrocarbon Reservoirs -- Performance Assessment of Cloud Migrations from Network and Application Point of View -- A Cloud Service Enhanced Method Supporting Context-aware Applications -- Application of 3D Delaunay Triangulation in Fingerprint Authentication System -- A New Lightweight Mutual Authentication Protocol to Secure Real Time Tracking of Radioactive Sources -- Fog Computing as a Critical Link between a Central Cloud and IoT in Support of Fast Discovery of New Hydrocarbon Reservoirs -- Performance Assessment of Cloud Migrations from Network and Application Point of View -- A Cloud Service Enhanced Method Supporting Context-aware Applications -- Application of 3D Delaunay Triangulation in Fingerprint Authentication System -- The Public Verifiability of Public Key Encryption with Keyword Search -- Malicious Bitcoin Transaction Tracing Using Incidence -- Relation Clustering -- Cryptanalysis of Salsa and ChaCha: Revisited -- CloudShare: Towards a Cost-Efficient and Privacy-Preserving Alliance Cloud Using Permissioned Blockchains -- Probability Risk Identification Based Intrusion Detection System for SCADA Systems -- Anonymizing k-NN Classification on MapReduce -- A Cancellable Ranking based Hashing Method for Fingerprint Template Protection. Tipo de medio : Computadora Summary : This book constitutes the refereed post-conference proceedings of the 9th International Conference on Mobile Networks and Management, MONAMI 2017, held in Melbourne, Australia, in December 2017. The 30 revised full papers were carefully reviewed and selected from 43 submissions. The papers handle topics in the area of mobile computing, wireless networking and management. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
