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: 
BookSeries: Security and Cryptology: 10332Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XII, 307 p. 59 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319600802.Subject(s): Data protection | Cryptography | Data encryption (Computer science) | Artificial intelligence | Image processing -- Digital techniques | Computer vision | Computer science -- Mathematics | Discrete mathematics | Data and Information Security | Cryptology | Artificial Intelligence | Computer Imaging, Vision, Pattern Recognition and Graphics | Discrete Mathematics in Computer ScienceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.8 Online 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.
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.
There are no comments for this item.