| TÃtulo : |
21st International Conference, ICICS 2019, Beijing, China, December 15–17, 2019, Revised Selected Papers |
| Tipo de documento: |
documento electrónico |
| Autores: |
Zhou, Jianying, ; Luo, Xiapu, ; Shen, Qingni, ; Xu, Zhen, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2020 |
| Número de páginas: |
XVII, 833 p. 79 ilustraciones |
| ISBN/ISSN/DL: |
978-3-030-41579-2 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Aplicaciones informáticas y de sistemas de información Aspectos Legales de la Computación Redes de comunicación informática Seguridad de datos e información Estructuras de datos y teorÃa de la información IngenierÃa de software Ordenador Red inform |
| Ãndice Dewey: |
005.73 Estructuras de datos |
| Resumen: |
Este libro constituye las actas arbitradas de la 21.ª Conferencia Internacional sobre Seguridad de la Información y las Comunicaciones, ICICS 2019, celebrada en Beijing, China, en diciembre de 2019. Los 47 artÃculos completos revisados ​​fueron cuidadosamente seleccionados entre 199 presentaciones. Los artÃculos están organizados en temas sobre análisis y detección de malware, seguridad de redes empresariales de IoT y CPS, seguridad de software, seguridad de sistemas, autenticación, seguridad de Internet con criptografÃa aplicada, seguridad de aprendizaje automático, privacidad del aprendizaje automático, seguridad web, esteganografÃa y esteganálisis. |
| Nota de contenido: |
Prototype-based malware trafic classification with novelty detection -- Evading API Call Sequence Based Malware Classifiers -- UBER: Combating Sandbox Evasion via User Behavior Emulators -- AADS: A Noise-Robust Anomaly Detection Framework for Industrial Control Systems -- Maged Abdelaty, Roberto Doriguzzi-Corin and Domenico Siracusa Characterizing Internet-scale ICS Automated Attacks through Long-term Honeypot Data -- Cloning Vulnerability Detection in Driver Layer of IoT Devices -- Impact of Multiple Re ections on Secrecy Capacity of Indoor VLC System -- Road Context-aware Intrusion Detection System for Autonomous Cars -- Enterprise Network Security -- Automated Cyber Threat Intelligence Reports Classification for Early Warning of Cyber Attacks in Next Generation SOC -- HeteroUI:A Framework Based on Heterogeneous Information Network Embedding for User Identification in Enterprise Networks -- CTLMD: Continuous-Temporal Lateral Movement Detection Using Graph Embedding -- VulHunter: An Automated Vulnerability Detection System based on Deep Learning and Bytecode -- Deep Learning-Based Vulnerable Function Detection: A Benchmark -- Automatic Demirci-Sel cuk Meet-in-the-Middle Attack on SKINNY with Key-bridging -- SecFlush: A Hardware/Software Collaborative Design for Real-Time Detection and Defense against Flush-Based Cache Attacks -- CDAE: Towards Empowering Denoising in Side-Channel Analysis -- Practical Evaluation Methodology of Higher-order Maskings at Different Operating Frequencies -- Privacy-Preserving eID Derivation for Self-Sovereign Identity Systems -- Provably Secure Group Authentication in the Asynchronous Communication Model -- AGE: Authentication Graph Embedding for Detecting Anomalous Login Activities -- A Multi-group Signature Scheme from Lattices -- Ciphertext Policy Attribute-Based Encryption for Circuits from LWE Assumption -- Using Equivalent Class to Solve Interval Discrete Logarithm Problem -- Parallel Steepest Ascent Hill-Climbing for High Nonlinear Boolean and VectorialBoolean Functions (S-Boxes) -- Accelerating SM2 Digital Signature Algorithm using Modern Processor Features -- Improved Di erential Attacks on GIFT-64 -- Adaptively Secure Puncturable Pseudorandom Functions via Puncturable Identity-Based KEMs -- Context-aware IPv6 Address Hopping -- Towards Homograph-confusable Domain Name Detection using Dual-channel CNN -- FraudJudger: Fraud Detection on Digital Payment Platforms with Fewer Labels -- CloudCoT: A Blockchain-based Cloud Service Dependency Attestation Framework -- An Adversarial Attack Based on Multi-Objective Optimization in the Neuron Selecting: Defending against Adversarial Examples in Deep Neural Networks -- Capturing the Persistence of Facial Expression Features for Deepfake -- Video Detection -- Differentially Private Frequent Itemset Mining against Incremental Updates -- Privacy-Preservinig Distributed Machine Learning based on Secret Sharing -- Privacy-preserving Decentralised Singular Value Decomposition -- WSLD: Detecting Unknown Webshell Using Fuzzy Matching and Deep Learning -- A Character-Level BiGRU-Attention For Phishing Classification -- Tear O Your Disguise: Phishing Website Detection using Visual and Network Identities -- Steganography and Steganalysis -- Hierarchical Repesentation Network for Steganalysis of QIM Steganography in Low-Bit-Rate Speech Signals -- Convolutional Neural Network based Side-Channel Attacks with Customized Filters -- DLchain: a Covert Channel over Blockchain based on Dynamic Labels. |
| 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 |
21st International Conference, ICICS 2019, Beijing, China, December 15–17, 2019, Revised Selected Papers [documento electrónico] / Zhou, Jianying, ; Luo, Xiapu, ; Shen, Qingni, ; Xu, Zhen, . - 1 ed. . - [s.l.] : Springer, 2020 . - XVII, 833 p. 79 ilustraciones. ISBN : 978-3-030-41579-2 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Aplicaciones informáticas y de sistemas de información Aspectos Legales de la Computación Redes de comunicación informática Seguridad de datos e información Estructuras de datos y teorÃa de la información IngenierÃa de software Ordenador Red inform |
| Ãndice Dewey: |
005.73 Estructuras de datos |
| Resumen: |
Este libro constituye las actas arbitradas de la 21.ª Conferencia Internacional sobre Seguridad de la Información y las Comunicaciones, ICICS 2019, celebrada en Beijing, China, en diciembre de 2019. Los 47 artÃculos completos revisados ​​fueron cuidadosamente seleccionados entre 199 presentaciones. Los artÃculos están organizados en temas sobre análisis y detección de malware, seguridad de redes empresariales de IoT y CPS, seguridad de software, seguridad de sistemas, autenticación, seguridad de Internet con criptografÃa aplicada, seguridad de aprendizaje automático, privacidad del aprendizaje automático, seguridad web, esteganografÃa y esteganálisis. |
| Nota de contenido: |
Prototype-based malware trafic classification with novelty detection -- Evading API Call Sequence Based Malware Classifiers -- UBER: Combating Sandbox Evasion via User Behavior Emulators -- AADS: A Noise-Robust Anomaly Detection Framework for Industrial Control Systems -- Maged Abdelaty, Roberto Doriguzzi-Corin and Domenico Siracusa Characterizing Internet-scale ICS Automated Attacks through Long-term Honeypot Data -- Cloning Vulnerability Detection in Driver Layer of IoT Devices -- Impact of Multiple Re ections on Secrecy Capacity of Indoor VLC System -- Road Context-aware Intrusion Detection System for Autonomous Cars -- Enterprise Network Security -- Automated Cyber Threat Intelligence Reports Classification for Early Warning of Cyber Attacks in Next Generation SOC -- HeteroUI:A Framework Based on Heterogeneous Information Network Embedding for User Identification in Enterprise Networks -- CTLMD: Continuous-Temporal Lateral Movement Detection Using Graph Embedding -- VulHunter: An Automated Vulnerability Detection System based on Deep Learning and Bytecode -- Deep Learning-Based Vulnerable Function Detection: A Benchmark -- Automatic Demirci-Sel cuk Meet-in-the-Middle Attack on SKINNY with Key-bridging -- SecFlush: A Hardware/Software Collaborative Design for Real-Time Detection and Defense against Flush-Based Cache Attacks -- CDAE: Towards Empowering Denoising in Side-Channel Analysis -- Practical Evaluation Methodology of Higher-order Maskings at Different Operating Frequencies -- Privacy-Preserving eID Derivation for Self-Sovereign Identity Systems -- Provably Secure Group Authentication in the Asynchronous Communication Model -- AGE: Authentication Graph Embedding for Detecting Anomalous Login Activities -- A Multi-group Signature Scheme from Lattices -- Ciphertext Policy Attribute-Based Encryption for Circuits from LWE Assumption -- Using Equivalent Class to Solve Interval Discrete Logarithm Problem -- Parallel Steepest Ascent Hill-Climbing for High Nonlinear Boolean and VectorialBoolean Functions (S-Boxes) -- Accelerating SM2 Digital Signature Algorithm using Modern Processor Features -- Improved Di erential Attacks on GIFT-64 -- Adaptively Secure Puncturable Pseudorandom Functions via Puncturable Identity-Based KEMs -- Context-aware IPv6 Address Hopping -- Towards Homograph-confusable Domain Name Detection using Dual-channel CNN -- FraudJudger: Fraud Detection on Digital Payment Platforms with Fewer Labels -- CloudCoT: A Blockchain-based Cloud Service Dependency Attestation Framework -- An Adversarial Attack Based on Multi-Objective Optimization in the Neuron Selecting: Defending against Adversarial Examples in Deep Neural Networks -- Capturing the Persistence of Facial Expression Features for Deepfake -- Video Detection -- Differentially Private Frequent Itemset Mining against Incremental Updates -- Privacy-Preservinig Distributed Machine Learning based on Secret Sharing -- Privacy-preserving Decentralised Singular Value Decomposition -- WSLD: Detecting Unknown Webshell Using Fuzzy Matching and Deep Learning -- A Character-Level BiGRU-Attention For Phishing Classification -- Tear O Your Disguise: Phishing Website Detection using Visual and Network Identities -- Steganography and Steganalysis -- Hierarchical Repesentation Network for Steganalysis of QIM Steganography in Low-Bit-Rate Speech Signals -- Convolutional Neural Network based Side-Channel Attacks with Customized Filters -- DLchain: a Covert Channel over Blockchain based on Dynamic Labels. |
| 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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