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

by Shlomi Dolev (Editor), Sachin Lodha (Editor)

Overview

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.

Product Details

ISBN-13:	9783319600802
Publisher:	Springer-Verlag New York, LLC
Publication date:	06/14/2017
Series:	Lecture Notes in Computer Science , #10332
Sold by:	Barnes & Noble
Format:	eBook
File size:	6 MB

Table of Contents

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.