9783031076886-3031076885-Cyber Security, Cryptology, and Machine Learning: 6th International Symposium, CSCML 2022, Be'er Sheva, Israel, June 30 – July 1, 2022, Proceedings (Lecture Notes in Computer Science)

Cyber Security, Cryptology, and Machine Learning: 6th International Symposium, CSCML 2022, Be'er Sheva, Israel, June 30 – July 1, 2022, Proceedings (Lecture Notes in Computer Science)

ISBN-13: 9783031076886
ISBN-10: 3031076885
Edition: 1st ed. 2022
Author: Jonathan Katz, Shlomi Dolev, Amnon Meisels
Publication date: 2022
Publisher: Springer
Format: Paperback 524 pages
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Book details

ISBN-13: 9783031076886
ISBN-10: 3031076885
Edition: 1st ed. 2022
Author: Jonathan Katz, Shlomi Dolev, Amnon Meisels
Publication date: 2022
Publisher: Springer
Format: Paperback 524 pages

Summary

Cyber Security, Cryptology, and Machine Learning: 6th International Symposium, CSCML 2022, Be'er Sheva, Israel, June 30 – July 1, 2022, Proceedings (Lecture Notes in Computer Science) (ISBN-13: 9783031076886 and ISBN-10: 3031076885), written by authors Jonathan Katz, Shlomi Dolev, Amnon Meisels, was published by Springer in 2022. With an overall rating of 4.0 stars, it's a notable title among other books. You can easily purchase or rent Cyber Security, Cryptology, and Machine Learning: 6th International Symposium, CSCML 2022, Be'er Sheva, Israel, June 30 – July 1, 2022, Proceedings (Lecture Notes in Computer Science) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book constitutes the refereed proceedings of the 6th International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2022, held in Be'er Sheva, Israel, in June - July 2022.

The 24 full and 11 short papers presented together with a keynote paper in this volume were carefully reviewed and selected from 53 submissions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas.

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