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Network and System Security : 13th International Conference, NSS 2019, Sapporo, Japan, December 15-18, 2019, Proceedings / edited by Joseph K. Liu, Xinyi Huang.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Liu, Joseph K., Editor.
Huang, Xinyi, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Security and cryptology ; SL 4, 11928
Security and Cryptology ; 11928
Language:
English
Subjects (All):
Data protection.
Cryptography.
Data encryption (Computer science).
Computer engineering.
Computer networks.
Artificial intelligence.
Application software.
Data and Information Security.
Cryptology.
Computer Engineering and Networks.
Artificial Intelligence.
Computer and Information Systems Applications.
Local Subjects:
Data and Information Security.
Cryptology.
Computer Engineering and Networks.
Artificial Intelligence.
Computer and Information Systems Applications.
Physical Description:
1 online resource (XIII, 731 pages) : 264 illustrations, 143 illustrations in color.
Edition:
1st ed. 2019.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2019.
System Details:
text file PDF
Summary:
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.
Contents:
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 Anonymization Technique 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.
Other Format:
Printed edition:
ISBN:
978-3-030-36938-5
9783030369385
Access Restriction:
Restricted for use by site license.

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