Machine Intelligence and Big Data Analytics for Cybersecurity Applications

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Synopsis

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.

 

 

Book details

Edition:
1st ed. 2021
Series:
Studies in Computational Intelligence (Book 919)
Author:
Yassine Maleh, Mohammad Shojafar, Mamoun Alazab, Youssef Baddi
ISBN:
9783030570248
Related ISBNs:
9783030570231
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2021-03-01
Usage restrictions:
Copyright
Copyright date:
2021
Copyright by:
The Editor 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Nonfiction, Technology