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Shlomi Dolev, Sachin Lodha (Beteiligte)

Cyber Security Cryptography and Machine Learning


First International Conference, CSCML 2017, Beer-Sheva, Israel, June 29-30, 2017, Proceedings
Herausgegeben von Dolev, Shlomi; Lodha, Sachin
1st ed. 2017. 2017. xii, 307 S. 59 SW-Abb. 235 mm
Verlag/Jahr: SPRINGER, BERLIN; SPRINGER INTERNATIONAL PUBLISHING 2017
ISBN: 3-319-60079-6 (3319600796)
Neue ISBN: 978-3-319-60079-6 (9783319600796)

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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.
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.-Ccryptography.- 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.