Big Data Analytics and Computational Intelligence for Cybersecurity (Hardcover, 1st ed. 2022)

This book presents a collection of state-of-the-art artificial intelligence and big data analytics approaches to cybersecurity intelligence. It illustrates the latest trends in AI/ML-based strategic defense mechanisms against malware, vulnerabilities, cyber threats, as well as proactive countermeasures. It also introduces other trending technologies, such as blockchain, SDN, and IoT, and discusses their possible impact on improving security. The book discusses the convergence of AI/ML and big data in cybersecurity by providing an overview of theoretical, practical, and simulation concepts of computational intelligence and big data analytics used in different approaches of security. It also displays solutions that will help analyze complex patterns in user data and ultimately improve productivity. This book can be a source for researchers, students, and practitioners interested in the fields of artificial intelligence, cybersecurity, data analytics, and recent trends of networks.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Big Data, 111
Release date:	September 2022
First published:	2022
Editors:	Mariya Ouaissa • Zakaria Boulouard • Mariyam Ouaissa • Inamullah Khan • Mohammed Kaosar
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	335
Edition:	1st ed. 2022
ISBN-13:	978-3-03-105751-9
Categories:	Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-105751-1
Barcode:	9783031057519

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