Cyber Security Cryptography and Machine Learning First International Conference, CSCML 2017, Beer-Sheva, Israel, June 29-30, 2017, Proceedings /

This book constitutes the proceedings of the first International Symposium on Cyber Security Cryptography and Machine Learning, held in Beer-Sheva, Israel, in June 2017. The 17 full and 4 short papers presented include cyber security; secure software development methodologies, formal methods semanti...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Dolev, Shlomi (Editor), Lodha, Sachin (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Series:Lecture Notes in Computer Science, 10332
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary:This book constitutes the proceedings of the first International Symposium on Cyber Security Cryptography and Machine Learning, held in Beer-Sheva, Israel, in June 2017. The 17 full and 4 short papers presented include cyber security; secure software development methodologies, formal methods semantics and verification of secure systems; fault tolerance, reliability, availability of distributed secure systems; game-theoretic approaches to secure computing; automatic recovery of self-stabilizing and self-organizing systems; communication, authentication and identification security; cyber security for mobile and Internet of things; cyber security of corporations; security and privacy for cloud, edge and fog computing; cryptography; cryptographic implementation analysis and construction; secure multi-party computation; privacy-enhancing technologies and anonymity; post-quantum cryptography and security; machine learning and big data; anomaly detection and malware identification; business intelligence and security; digital forensics; digital rights management; trust management and reputation systems; information retrieval, risk analysis, DoS.
Physical Description:XII, 307 p. 59 illus. online resource.
ISBN:9783319600802
ISSN:0302-9743 ;