Machine Intelligence and Big Data Analytics for Cybersecurity Applications

Yassine Maleh (Editor), Mohammad Shojafar (Editor), Mamoun Alazab (Editor), Youssef Baddi (Editor)

Research output: Book/ReportEdited Book

Abstract

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.
Original languageEnglish
PublisherSpringer
Number of pages534
ISBN (Electronic)978-3-030-57024-8
ISBN (Print)978-3-030-57023-1
DOIs
Publication statusAccepted/In press - 2020

Publication series

NameStudies in Computational Intelligence
PublisherSpringer
Volume919
ISSN (Electronic)1860-949X

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  • Cite this

    Maleh, Y., Shojafar, M., Alazab, M., & Baddi, Y. (Eds.) (Accepted/In press). Machine Intelligence and Big Data Analytics for Cybersecurity Applications. (Studies in Computational Intelligence; Vol. 919). Springer. https://doi.org/10.1007/978-3-030-57024-8