Machine Intelligence and Big Data Analytics for Cybersecurity Applications


Machine Intelligence and Big Data Analytics for Cybersecurity Applications (Studies in Computational Intelligence, 919) 1st ed. 2021 Edition
by Yassine Maleh (Editor), Mohammad Shojafar (Editor), Mamoun Alazab (Editor), Youssef Baddi (Editor)
Publisher Finelybook 出版社 : Springer; 1st ed. 2021 edition (December 15, 2020)
Language 语言: : English
pages 页数: 552 pages
ISBN-10 : 3030570231
ISBN-13 : 9783030570231
The Book Description robot was collected from Amazon and arranged by Finelybook
This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today’s IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and big data analytics for cybersecurity applications.

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