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Cyber Security Cryptography and Machine Learning = Third International Symposium, CSCML 2019, Beer-Sheva, Israel, June 27–28, 2019, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Cyber Security Cryptography and Machine Learning/ edited by Shlomi Dolev, Danny Hendler, Sachin Lodha, Moti Yung.
Reminder of title:	Third International Symposium, CSCML 2019, Beer-Sheva, Israel, June 27–28, 2019, Proceedings /
other author:	Dolev, Shlomi.
Description:	XIII, 330 p. 141 illus., 76 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computer security. -
Online resource:	https://doi.org/10.1007/978-3-030-20951-3
ISBN:	9783030209513

Cyber Security Cryptography and Machine Learning = Third International Symposium, CSCML 2019, Beer-Sheva, Israel, June 27–28, 2019, Proceedings /
Cyber Security Cryptography and Machine LearningThird International Symposium, CSCML 2019, Beer-Sheva, Israel, June 27–28, 2019, Proceedings /[electronic resource] :edited by Shlomi Dolev, Danny Hendler, Sachin Lodha, Moti Yung. - 1st ed. 2019. - XIII, 330 p. 141 illus., 76 illus. in color.online resource. - Security and Cryptology ;11527. - Security and Cryptology ;9241.

This book constitutes the refereed proceedings of the Third International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019, held in Beer-Sheva, Israel, in June 2019. The 18 full and 10 short papers presented in this volume were carefully reviewed and selected from 36 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.

ISBN: 9783030209513

Standard No.: 10.1007/978-3-030-20951-3doiSubjects--Topical Terms:

557122
Computer security.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Cyber Security Cryptography and Machine Learning = Third International Symposium, CSCML 2019, Beer-Sheva, Israel, June 27–28, 2019, Proceedings /
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