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Cryptology and network security with machine learning = proceedings of ICCNSML 2023 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cryptology and network security with machine learning/ edited by Atul Chaturvedi ... [et al.].
Reminder of title:	proceedings of ICCNSML 2023 /
remainder title:	ICCNSML 2023
other author:	Chaturvedi, Atul.
corporate name:	International Conference on Cryptology & Network Security with Machine Learning
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xxii, 885 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computer networks - Security measures -
Online resource:	https://doi.org/10.1007/978-981-97-0641-9
ISBN:	9789819706419

Cryptology and network security with machine learning = proceedings of ICCNSML 2023 /
Cryptology and network security with machine learningproceedings of ICCNSML 2023 /[electronic resource] :ICCNSML 2023edited by Atul Chaturvedi ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xxii, 885 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 9182367-3389 ;. - Lecture notes in networks and systems ;v. 918..

The book features original papers from International Conference on Cryptology & Network Security with Machine Learning (ICCNSML 2023), organized by PSIT, Kanpur, India during 27-29 October 2023. This conference proceeding provides the understanding of core concepts of Cryptology and Network Security with ML in data communication. The book covers research papers in public key cryptography, elliptic curve cryptography, post-quantum cryptography, lattice based cryptography, non-commutative ring-based cryptography, cryptocurrency, authentication, key agreement, Hash functions, block/stream ciphers, polynomial-based cryptography, code-based cryptography, NTRU cryptosystems, security and privacy in machine learning, blockchain, IoT security, wireless security protocols, cryptanalysis, number theory, quantum computing, cryptographic aspects of network security, complexity theory, and cryptography with machine learning.

ISBN: 9789819706419

Standard No.: 10.1007/978-981-97-0641-9doiSubjects--Topical Terms:

582085
Computer networks
--Security measures

LC Class. No.: TK5105.59 / .I58 2023

Dewey Class. No.: 005.8

Cryptology and network security with machine learning = proceedings of ICCNSML 2023 /
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