Big Data Analytics and Computational Intelligence for Cybersecurity

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Éditeur :

Springer


Collection :

Studies in Big Data

Paru le : 2022-09-01

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Description

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 ofnetworks.
Pages
335 pages
Collection
Studies in Big Data
Parution
2022-09-01
Marque
Springer
EAN papier
9783031057519
EAN PDF
9783031057526

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
33
Taille du fichier
7004 Ko
Prix
147,69 €
EAN EPUB
9783031057526

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
33
Taille du fichier
31191 Ko
Prix
147,69 €