Cyber Security Cryptography and Machine Learning (eBook, PDF)

First International Conference, CSCML 2017, Beer-Sheva, Israel, June 29-30, 2017, Proceedings
Redaktion: Dolev, Shlomi; Lodha, Sachin

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 307
• Erscheinungstermin: 14. Juni 2017
• Englisch
• ISBN-13: 9783319600802
• Artikelnr.: 53061645