Machine Intelligence and Big Data Analytics for Cybersecurity Applications

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

ISBN 10: 3030570231 / ISBN 13: 9783030570231

Edité par Springer-Nature New York Inc, 2020

A propos de cet article

539 pages. 9.50x6.25x1.25 inches. In Stock.

N° de réf. du vendeur x-3030570231

Détails bibliographiques

• Titre: Machine Intelligence and Big Data Analytics for Cybersecurity Applications
• Éditeur: Springer-Nature New York Inc
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 3030570231
• ISBN à 13 chiffres: 9783030570231
• Reliure: Hardcover
• État de l'article: Brand New

A propos de ce titre

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.