Description
Cyber Security Cryptography and Machine Learning, 1st ed. 2017
First International Conference, CSCML 2017, Beer-Sheva, Israel, June 29-30, 2017, Proceedings
Security and Cryptology Series
Coordinators: Dolev Shlomi, Lodha Sachin
Language: English
Subject for Cyber Security Cryptography and Machine Learning:
Keywords
algorithms; authentication; classification; computer crime; computer operating systems; computer programming languages; cybersecurity; data privacy; data security; encryption; face recognition; image processing; Internet; machine learning; malwares; network security; privacy; security; signal processing; Support Vector Machines (SVM)
Support: Print on demand
Description
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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.></p></p>
Includes supplementary material: sn.pub/extras
