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Big Data Analytics and Computational Intelligence for Cybersecurity

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Big Data Analytics and Computational Intelligence for Cybersecurity/ edited by Mariya Ouaissa, Zakaria Boulouard, Mariyam Ouaissa, Inam Ullah Khan, Mohammed Kaosar.
other author:	Ouaissa, Mariya.
Description:	XV, 335 p. 89 illus., 62 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Engineering—Data processing. -
Online resource:	https://doi.org/10.1007/978-3-031-05752-6
ISBN:	9783031057526

Big Data Analytics and Computational Intelligence for Cybersecurity
Big Data Analytics and Computational Intelligence for Cybersecurity[electronic resource] /edited by Mariya Ouaissa, Zakaria Boulouard, Mariyam Ouaissa, Inam Ullah Khan, Mohammed Kaosar. - 1st ed. 2022. - XV, 335 p. 89 illus., 62 illus. in color.online resource. - Studies in Big Data,1112197-6511 ;. - Studies in Big Data,8.

New Advancements in Cybersecurity: A Comprehensive Survey -- CPSs Communication using 5G Network in the Light of Security -- A Survey on Security Aspects in RPL Protocol over IoT Network -- Analysis of Cybersecurity Risks and their Mitigation for Work-from-Home Tools and Techniques -- A Systemic Security and Privacy Review: Attacks and Prevention Mechanisms over IoT Layers -- Software-Defined Networking Security: A Comprehensive Review.

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.

ISBN: 9783031057526

Standard No.: 10.1007/978-3-031-05752-6doiSubjects--Topical Terms:

1297966
Engineering—Data processing.

LC Class. No.: TA345-345.5

Dewey Class. No.: 620.00285

Big Data Analytics and Computational Intelligence for Cybersecurity
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