Cyber Security Cryptography and Machine Learning [electronic resource] : First International Conference, CSCML 2017, Beer-Sheva, Israel, June 29-30, 2017, Proceedings / edited by Shlomi Dolev, Sachin Lodha.

Contributor(s): Dolev, Shlomi [editor.] | Lodha, Sachin [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Security and Cryptology ; 10332 | Lecture Notes in Computer Science ; 10332Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: XII, 307 p. 59 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319600802Subject(s): Computer security | Data encryption (Computer science) | Artificial intelligence | Optical data processing | Computer science—Mathematics | Data protection | Systems and Data Security | Cryptology | Artificial Intelligence | Computer Imaging, Vision, Pattern Recognition and Graphics | Discrete Mathematics in Computer Science | SecurityAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.8 LOC classification: QA76.9.A25Online resources: Click here to access online In: Springer Nature eBookSummary: 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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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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