| TÃtulo : |
13th International Conference, NSS 2019, Sapporo, Japan, December 15À“18, 2019, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Liu, Joseph K., ; Huang, Xinyi, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2019 |
| Número de páginas: |
XIII, 731 p. 264 ilustraciones, 143 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-36938-5 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Protección de datos CriptografÃa Cifrado de datos (Informática) IngenierÃa Informática Red de computadoras Inteligencia artificial Software de la aplicacion Seguridad de datos e información CriptologÃa IngenierÃa Informática y Redes Aplicaciones informáticas y de sistemas de información |
| Ãndice Dewey: |
005.8 Ciencia de los computadores (Programación, programas de sistemas) |
| Resumen: |
Este libro constituye las actas de la 13.ª Conferencia Internacional sobre Seguridad de Redes y Sistemas, NSS 2019, celebrada en Sapporo, Japón, en diciembre de 2019. Los 36 artÃculos completos y 7 artÃculos breves presentados junto con 4 artÃculos invitados en este libro fueron cuidadosamente revisados ​​y seleccionado entre 89 presentaciones iniciales. Los artÃculos cubren una amplia gama de temas en el campo, incluida la autenticación, el control de acceso, la disponibilidad, la integridad, la privacidad, la confidencialidad, la confiabilidad y la sostenibilidad de las redes y sistemas informáticos. |
| Nota de contenido: |
Invited Papers -- Measuring Security of Symmetric Encryption Schemes against On-the-Fly Side-Channel Key-Recovery Attacks -- Unsupervised Insider Detection through Neural Feature Learning and Model Optimisation -- Dynamic Searchable Symmetric Encryption with Forward and Backward Privacy: A Survey -- A Graph Database-based Approach to Analyze Network Log Files -- Full Papers -- A Privacy-Enhancing Framework for Internet of Things Services -- Using Audio Characteristics for Mobile Device Authentication -- Ethereum Analysis via Node Clustering -- Strong Known Related-Key Attacks and the Security of ECDSA -- Threat Assessment of Enterprise Applications via Graphical Modelling -- A Blockchain-based IoT Data Management System for Secure and Scalable Data Sharing -- Towards Secure Open Banking Architecture: An Evaluation with OWASP -- OutGene: Detecting Undefined Network Attacks with Time Stretching and Genetic Zooms -- OVERSCAN: OAuth 2.0 Scanner for Missing Parameters -- LaT-Voting: Traceable Anonymous E-Voting on Blockchain -- Distributed Secure Storage System Based on Blockchain and TPA -- SSHTDNS: A Secure, Scalable and High-Throughput Domain Name System via Blockchain Technique -- A Practical Dynamic Enhanced BFT protocol -- Pre-adjustment Based Anti-collusion Mechanism for Audio Signals -- Detecting Intruders by User File Access Patterns -- Blockchain-enabled Privacy-preserving Internet of Vehicles: Decentralized and Reputation-based Network Architecture -- Privacy Preserving Machine Learning with Limited Information Leakage -- Blockchain based Owner-Controlled Secure Software Updates for Resource-Constrained -- Sequential Aggregate MACs with Detecting Functionality Revisited -- A Novel Approach for Traffic Anomaly Detection in Power Distributed Control System and Substation System -- EEG-based Authentication with Variational Universal Background Model -- An Efficient Vulnerability Detection Model for Ethereum Smart Contracts -- A Comparative Study on Network Traffic Clustering -- Tell Them From Me: an Encrypted Application Profiler -- Indoor Security Localization Algorithm Based on Location Discrimination Ability of AP -- Gnocchi: Multiplexed Payment Channels for Cryptocurrencies -- Difficulty of decentralized structure due to rational user behavior on Blockchain -- A DNS Tunneling Detection method based on Deep Learning models to prevent Data Exfiltration -- Cryptanalysis of Raindrop and FBC -- Attribute Based Encryption with Publicly Verifiable Outsourced Decryption -- New Game-Theoretic Analysis of DDoS Attacks Against Bitcoin Mining Pools with Defense Cost -- Lattice based verifiably encrypted double authentication preventing Signatures -- Privacy-Preserving Sequential Data Publishing -- A Secure and Efficient Privacy-Preserving Authentication Scheme for Vehicular Networks with Batch Verification Using Cuckoo Filter -- Keyed Non-Parametric Hypothesis Tests: Protecting Machine Learning From Poisoning Attacks -- SparkDA: RDD-Based High Performance Data AnonymizationTechnique for Spark Platform -- Short Papers -- An Efficient Leakage-Resilient Authenticated Group Key Exchange Protocol -- Traceable and Fully Anonymous Attribute Based Group Signature Scheme with Verifier Local Revocation from Lattices -- Privacy-preserving k-means clustering: an application to driving style Recognition -- Derandomized PACE with Mutual Authentication -- A Muti-attributes-based Trust Model of Internet of Vehicle -- Using Sparse Composite Document Vectors to Classify VBA Macros -- A High-Performance Hybrid Blockchain Systemfor Traceable IoT Applications. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
13th International Conference, NSS 2019, Sapporo, Japan, December 15À“18, 2019, Proceedings [documento electrónico] / Liu, Joseph K., ; Huang, Xinyi, . - 1 ed. . - [s.l.] : Springer, 2019 . - XIII, 731 p. 264 ilustraciones, 143 ilustraciones en color. ISBN : 978-3-030-36938-5 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Protección de datos CriptografÃa Cifrado de datos (Informática) IngenierÃa Informática Red de computadoras Inteligencia artificial Software de la aplicacion Seguridad de datos e información CriptologÃa IngenierÃa Informática y Redes Aplicaciones informáticas y de sistemas de información |
| Ãndice Dewey: |
005.8 Ciencia de los computadores (Programación, programas de sistemas) |
| Resumen: |
Este libro constituye las actas de la 13.ª Conferencia Internacional sobre Seguridad de Redes y Sistemas, NSS 2019, celebrada en Sapporo, Japón, en diciembre de 2019. Los 36 artÃculos completos y 7 artÃculos breves presentados junto con 4 artÃculos invitados en este libro fueron cuidadosamente revisados ​​y seleccionado entre 89 presentaciones iniciales. Los artÃculos cubren una amplia gama de temas en el campo, incluida la autenticación, el control de acceso, la disponibilidad, la integridad, la privacidad, la confidencialidad, la confiabilidad y la sostenibilidad de las redes y sistemas informáticos. |
| Nota de contenido: |
Invited Papers -- Measuring Security of Symmetric Encryption Schemes against On-the-Fly Side-Channel Key-Recovery Attacks -- Unsupervised Insider Detection through Neural Feature Learning and Model Optimisation -- Dynamic Searchable Symmetric Encryption with Forward and Backward Privacy: A Survey -- A Graph Database-based Approach to Analyze Network Log Files -- Full Papers -- A Privacy-Enhancing Framework for Internet of Things Services -- Using Audio Characteristics for Mobile Device Authentication -- Ethereum Analysis via Node Clustering -- Strong Known Related-Key Attacks and the Security of ECDSA -- Threat Assessment of Enterprise Applications via Graphical Modelling -- A Blockchain-based IoT Data Management System for Secure and Scalable Data Sharing -- Towards Secure Open Banking Architecture: An Evaluation with OWASP -- OutGene: Detecting Undefined Network Attacks with Time Stretching and Genetic Zooms -- OVERSCAN: OAuth 2.0 Scanner for Missing Parameters -- LaT-Voting: Traceable Anonymous E-Voting on Blockchain -- Distributed Secure Storage System Based on Blockchain and TPA -- SSHTDNS: A Secure, Scalable and High-Throughput Domain Name System via Blockchain Technique -- A Practical Dynamic Enhanced BFT protocol -- Pre-adjustment Based Anti-collusion Mechanism for Audio Signals -- Detecting Intruders by User File Access Patterns -- Blockchain-enabled Privacy-preserving Internet of Vehicles: Decentralized and Reputation-based Network Architecture -- Privacy Preserving Machine Learning with Limited Information Leakage -- Blockchain based Owner-Controlled Secure Software Updates for Resource-Constrained -- Sequential Aggregate MACs with Detecting Functionality Revisited -- A Novel Approach for Traffic Anomaly Detection in Power Distributed Control System and Substation System -- EEG-based Authentication with Variational Universal Background Model -- An Efficient Vulnerability Detection Model for Ethereum Smart Contracts -- A Comparative Study on Network Traffic Clustering -- Tell Them From Me: an Encrypted Application Profiler -- Indoor Security Localization Algorithm Based on Location Discrimination Ability of AP -- Gnocchi: Multiplexed Payment Channels for Cryptocurrencies -- Difficulty of decentralized structure due to rational user behavior on Blockchain -- A DNS Tunneling Detection method based on Deep Learning models to prevent Data Exfiltration -- Cryptanalysis of Raindrop and FBC -- Attribute Based Encryption with Publicly Verifiable Outsourced Decryption -- New Game-Theoretic Analysis of DDoS Attacks Against Bitcoin Mining Pools with Defense Cost -- Lattice based verifiably encrypted double authentication preventing Signatures -- Privacy-Preserving Sequential Data Publishing -- A Secure and Efficient Privacy-Preserving Authentication Scheme for Vehicular Networks with Batch Verification Using Cuckoo Filter -- Keyed Non-Parametric Hypothesis Tests: Protecting Machine Learning From Poisoning Attacks -- SparkDA: RDD-Based High Performance Data AnonymizationTechnique for Spark Platform -- Short Papers -- An Efficient Leakage-Resilient Authenticated Group Key Exchange Protocol -- Traceable and Fully Anonymous Attribute Based Group Signature Scheme with Verifier Local Revocation from Lattices -- Privacy-preserving k-means clustering: an application to driving style Recognition -- Derandomized PACE with Mutual Authentication -- A Muti-attributes-based Trust Model of Internet of Vehicle -- Using Sparse Composite Document Vectors to Classify VBA Macros -- A High-Performance Hybrid Blockchain Systemfor Traceable IoT Applications. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
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13th International Conference, NSS 2019, Sapporo, Japan, December 15À“18, 2019, Proceedings
