Network and System Security
13th International Conference, NSS 2019, Sapporo, Japan, December 15-18, 2019, Proceedings
(Sprache: Englisch)
This book constitutes the proceedings of the 13th International Conference on Network and System Security, NSS 2019, held in Sapporo, Japan, in December 2019.
The 36 full papers and 7 short papers presented together with 4 invited papers in this...
The 36 full papers and 7 short papers presented together with 4 invited papers in this...
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Produktinformationen zu „Network and System Security “
Klappentext zu „Network and System Security “
This book constitutes the proceedings of the 13th International Conference on Network and System Security, NSS 2019, held in Sapporo, Japan, in December 2019. The 36 full papers and 7 short papers presented together with 4 invited papers in this book were carefully reviewed and selected from 89 initial submissions. The papers cover a wide range of topics in the field, including authentication, access control, availability, integrity, privacy, confidentiality, dependability and sustainability of computer networks and systems.
Inhaltsverzeichnis zu „Network and System Security “
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.-
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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.
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Bibliographische Angaben
- 2019, 1st ed. 2019, XIII, 731 Seiten, 143 farbige Abbildungen, Maße: 15,3 x 23,7 cm, Kartoniert (TB), Englisch
- Herausgegeben: Joseph K. Liu, Xinyi Huang
- Verlag: Springer, Berlin
- ISBN-10: 3030369374
- ISBN-13: 9783030369378
Sprache:
Englisch
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