TÃtulo : |
14th International Conference, NSS 2020, Melbourne, VIC, Australia, November 25À“27, 2020, Proceedings |
Tipo de documento: |
documento electrónico |
Autores: |
Kuty‚owski, Miros‚aw, ; Zhang, Jun, ; Chen, Chao, |
Mención de edición: |
1 ed. |
Editorial: |
[s.l.] : Springer |
Fecha de publicación: |
2020 |
Número de páginas: |
XIII, 448 p. 135 ilustraciones, 103 ilustraciones en color. |
ISBN/ISSN/DL: |
978-3-030-65745-1 |
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: |
CriptografÃa Cifrado de datos (Informática) Software de la aplicacion TeorÃa de la codificación TeorÃa de la información Ordenadores Red de computadoras Red informática CriptologÃa Aplicaciones informáticas y de sistemas de información TeorÃa de la codificación y la información Entornos informáticos Redes de comunicación informática Seguridad móvil y de red |
Clasificación: |
5.824 |
Resumen: |
Este libro constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Seguridad de Redes y Sistemas, NSS 2020, celebrada en Melbourne, VIC, Australia, en noviembre de 2020. Los 17 artÃculos completos y 9 artÃculos breves fueron cuidadosamente revisados ​​y seleccionados entre 60 presentaciones. Los artÃculos seleccionados están dedicados a temas como arquitecturas de sistemas operativos seguros, programación de aplicaciones y pruebas de seguridad, detección de intrusiones y ataques, inteligencia de ciberseguridad, control de acceso, técnicas criptográficas, criptomonedas, ransomware, anonimato, confianza, sistemas de recomendación, asà como problemas de aprendizaje automático. . Debido a la pandemia de Corona, el evento se llevó a cabo virtualmente. |
Nota de contenido: |
Data Analytics of Crowdsourced Resources for Cybersecurity Intelligence -- Security Evaluation of Smart Contract-Based On-Chain Ethereum Wallets -- EnCoD Distinguishing Compressed and Encrypted File Fragments -- A Weighted Voting Framework for Android App's Vetting Based on Multiple Machine Learning Models -- HyperWall A Hypervisor for Detection and Prevention of Malicious Communication -- Safety Analysis of High-Dimensional Anonymized Data from Multiple Perspectives -- Defending Against Package Typosquatting -- Graph Deep Learning Based Anomaly Detection in Ethereum Blockchain Network -- Game Theoretic Analysis of Reputation Approach on Block Withholding Attack -- Identity-Based Outsider Anonymous Broadcast Encryption with Simultaneous Individual Messaging -- Compactly Committing Authenticated Encryption Using Tweakable Block Cipher -- Model Poisoning Defense on Federated Learning: A Validation Based Approach -- Fixing Vulnerabilities Automatically with Linters -- Sequential Anomaly Detection Using Feedback and Prioritized Experience Replay -- A Framework of Blockchain-Based Collaborative Intrusion Detection in Software Defined Networking -- Evaluation of Anomaly-Based Intrusion Detection with Combined Imbalance Correction and Feature Selection -- AC0 Constructions of Secret Sharing Schemes À“ Accommodating New Parties -- Multiply, Divide, and Conquer À“ Making Fully Decentralised Access Control a Reality -- A Model Specification Implementation for Trust Negotiation -- Privacy and Utility Trade-off for Textual Analysis via Calibrated Multivariate Perturbations -- PowerKey: Generating Secret Keys from Power Line Electromagnetic Interferences -- On the Vulnerability of Hyperdimensional Computing-Based Classifiers to Adversarial Attacks -- ESCAPADE: Encryption-Type-Ransomware: System Call Based Pattern Detection -- A Privacy Preserving Aggregation Scheme for Fog-Based Recommender System -- The Impact of Differential Privacy on Model Fairness in Federated Learning -- Evading Stepping-Stone Detection with Enough Chaff. |
Tipo de medio : |
Computadora |
Summary : |
This book constitutes the refereed proceedings of the 14th International Conference on Network and System Security, NSS 2020, held in Melbourne, VIC, Australia, in November 2020. The 17 full and 9 short papers were carefully reviewed and selected from 60 submissions. The selected papers are devoted to topics such as secure operating system architectures, applications programming and security testing, intrusion and attack detection, cybersecurity intelligence, access control, cryptographic techniques, cryptocurrencies, ransomware, anonymity, trust, recommendation systems, as well machine learning problems. Due to the Corona pandemic the event was held virtually. |
Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
14th International Conference, NSS 2020, Melbourne, VIC, Australia, November 25À“27, 2020, Proceedings [documento electrónico] / Kuty‚owski, Miros‚aw, ; Zhang, Jun, ; Chen, Chao, . - 1 ed. . - [s.l.] : Springer, 2020 . - XIII, 448 p. 135 ilustraciones, 103 ilustraciones en color. ISBN : 978-3-030-65745-1 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: |
CriptografÃa Cifrado de datos (Informática) Software de la aplicacion TeorÃa de la codificación TeorÃa de la información Ordenadores Red de computadoras Red informática CriptologÃa Aplicaciones informáticas y de sistemas de información TeorÃa de la codificación y la información Entornos informáticos Redes de comunicación informática Seguridad móvil y de red |
Clasificación: |
5.824 |
Resumen: |
Este libro constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Seguridad de Redes y Sistemas, NSS 2020, celebrada en Melbourne, VIC, Australia, en noviembre de 2020. Los 17 artÃculos completos y 9 artÃculos breves fueron cuidadosamente revisados ​​y seleccionados entre 60 presentaciones. Los artÃculos seleccionados están dedicados a temas como arquitecturas de sistemas operativos seguros, programación de aplicaciones y pruebas de seguridad, detección de intrusiones y ataques, inteligencia de ciberseguridad, control de acceso, técnicas criptográficas, criptomonedas, ransomware, anonimato, confianza, sistemas de recomendación, asà como problemas de aprendizaje automático. . Debido a la pandemia de Corona, el evento se llevó a cabo virtualmente. |
Nota de contenido: |
Data Analytics of Crowdsourced Resources for Cybersecurity Intelligence -- Security Evaluation of Smart Contract-Based On-Chain Ethereum Wallets -- EnCoD Distinguishing Compressed and Encrypted File Fragments -- A Weighted Voting Framework for Android App's Vetting Based on Multiple Machine Learning Models -- HyperWall A Hypervisor for Detection and Prevention of Malicious Communication -- Safety Analysis of High-Dimensional Anonymized Data from Multiple Perspectives -- Defending Against Package Typosquatting -- Graph Deep Learning Based Anomaly Detection in Ethereum Blockchain Network -- Game Theoretic Analysis of Reputation Approach on Block Withholding Attack -- Identity-Based Outsider Anonymous Broadcast Encryption with Simultaneous Individual Messaging -- Compactly Committing Authenticated Encryption Using Tweakable Block Cipher -- Model Poisoning Defense on Federated Learning: A Validation Based Approach -- Fixing Vulnerabilities Automatically with Linters -- Sequential Anomaly Detection Using Feedback and Prioritized Experience Replay -- A Framework of Blockchain-Based Collaborative Intrusion Detection in Software Defined Networking -- Evaluation of Anomaly-Based Intrusion Detection with Combined Imbalance Correction and Feature Selection -- AC0 Constructions of Secret Sharing Schemes À“ Accommodating New Parties -- Multiply, Divide, and Conquer À“ Making Fully Decentralised Access Control a Reality -- A Model Specification Implementation for Trust Negotiation -- Privacy and Utility Trade-off for Textual Analysis via Calibrated Multivariate Perturbations -- PowerKey: Generating Secret Keys from Power Line Electromagnetic Interferences -- On the Vulnerability of Hyperdimensional Computing-Based Classifiers to Adversarial Attacks -- ESCAPADE: Encryption-Type-Ransomware: System Call Based Pattern Detection -- A Privacy Preserving Aggregation Scheme for Fog-Based Recommender System -- The Impact of Differential Privacy on Model Fairness in Federated Learning -- Evading Stepping-Stone Detection with Enough Chaff. |
Tipo de medio : |
Computadora |
Summary : |
This book constitutes the refereed proceedings of the 14th International Conference on Network and System Security, NSS 2020, held in Melbourne, VIC, Australia, in November 2020. The 17 full and 9 short papers were carefully reviewed and selected from 60 submissions. The selected papers are devoted to topics such as secure operating system architectures, applications programming and security testing, intrusion and attack detection, cybersecurity intelligence, access control, cryptographic techniques, cryptocurrencies, ransomware, anonymity, trust, recommendation systems, as well machine learning problems. Due to the Corona pandemic the event was held virtually. |
Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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