Machine intelligence and big data analytics for cybersecurity applications / Yassine Maleh [and three others], editors.
Maleh, Yassine, 1987- editor.; Shojafar, Mohammad, editor.; Alazab, Mamoun, 1980- editor.; Baddi, Youssef, editor.
2021
Q335 .M33 2021eb
Available Online

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Title Machine intelligence and big data analytics for cybersecurity applications / Yassine Maleh [and three others], editors.
ISBN 9783030570248 (electronic book)
303057024X (electronic book)
3030570231
9783030570231
DOI https://doi.org/10.1007/978-3-030-57024-8
Published Cham, Switzerland : Springer, [2021]
Copyright ©2021
Language English
Description 1 online resource (xiii, 539 pages)
Other Standard Identifiers 10.1007/978-3-030-57024-8 doi
Call Number Q335 .M33 2021eb
Dewey Decimal Classification 006.3
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from digital title page (viewed on February 08, 2021).
Added Author Maleh, Yassine, 1987- editor.
Shojafar, Mohammad, editor.
Alazab, Mamoun, 1980- editor.
Baddi, Youssef, editor.
Series Studies in computational intelligence ; v. 919.
Available in Other Form Machine Intelligence and Big Data Analytics for Cybersecurity Applications.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Part I. Machine Intelligence and Big Data Analytics for Cybersecurity: Fundamentals and Challenges
Network Intrusion Detection: Taxonomy and Machine Learning Applications
Machine Learning and Deep Learning Models for Big Data Issues
The Fundamentals and Potential for Cybersecurity of Big Data in the Modern World
Toward a Knowledge-Based Model to Fight Against Cybercrime Within Big Data Environments: A Set of Key Questions to Introduce the Topic
Part II. Machine Intelligence and Big Data Analytics for Cyber-Threat Detection and Analysis
Improving Cyber-Threat Detection by Moving the Boundary Around the Normal Samples
Bayesian Networks for Online Cybersecurity Threat Detection
(Plus 8 other papers)
Part III. Machine Intelligence and Big Data Analytics for Cybersecurity Applications (10 papers).

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