Studies in Computational Intelligence

Machine Intelligence and Big Data Analytics for Cybersecurity Applications

Editors: Maleh, Y., Shojafar, M., Alazab, M., Baddi, Y. (Eds.)

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  • Presents the latest discoveries in terms of machine intelligence and Big data analytics techniques and methods for cybersecurity and privacy 
  • Proposes many case studies and applications of machine intelligence in various cybersecurity fields (Smart City, IoT, Cyber Physical System, etc.) 
  • Combines theory and practice so that readers can find both a description of the concepts and context related to machine intelligence for cybersecurity
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eBook 128,39 €
price for Spain (gross)
  • ISBN 978-3-030-57024-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 166,39 €
price for Spain (gross)
  • ISBN 978-3-030-57023-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions & severe weather in the US may cause delays
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

 

 

Table of contents (24 chapters)

Table of contents (24 chapters)
  • Network Intrusion Detection: Taxonomy and Machine Learning Applications

    Pages 3-28

    Nazir, Anjum (et al.)

  • Machine Learning and Deep Learning Models for Big Data Issues

    Pages 29-49

    Gahi, Youssef (et al.)

  • The Fundamentals and Potential for Cybersecurity of Big Data in the Modern World

    Pages 51-73

    França, Reinaldo Padilha (et al.)

  • Toward a Knowledge-Based Model to Fight Against Cybercrime Within Big Data Environments: A Set of Key Questions to Introduce the Topic

    Pages 75-101

    El Hamzaoui, Mustapha (et al.)

  • Improving Cyber-Threat Detection by Moving the Boundary Around the Normal Samples

    Pages 105-127

    Andresini, Giuseppina (et al.)

Buy this book

eBook 128,39 €
price for Spain (gross)
  • ISBN 978-3-030-57024-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 166,39 €
price for Spain (gross)
  • ISBN 978-3-030-57023-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions & severe weather in the US may cause delays
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Machine Intelligence and Big Data Analytics for Cybersecurity Applications
Editors
  • Yassine Maleh
  • Mohammad Shojafar
  • Mamoun Alazab
  • Youssef Baddi
Series Title
Studies in Computational Intelligence
Series Volume
919
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-57024-8
DOI
10.1007/978-3-030-57024-8
Hardcover ISBN
978-3-030-57023-1
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XIII, 539
Number of Illustrations
38 b/w illustrations, 172 illustrations in colour
Topics