Machine Intelligence and Big Data Analytics for Cybersecurity Applications: 919 - Rilegato

Libro 430 di 538: Studies in Computational Intelligence
 
9783030570231: Machine Intelligence and Big Data Analytics for Cybersecurity Applications: 919
Rilegato
ISBN 10: 3030570231 ISBN 13: 9783030570231
Casa editrice: Springer-Nature New York Inc, 2020

Sinossi

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 exploringthe latest advances on machine intelligence and big data analytics for cybersecurity applications.

 

 

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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 exploringthe latest advances on machine intelligence and big data analytics for cybersecurity applications.

 

 

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer-Nature New York Inc
Data di pubblicazione
2020
Lingua
Inglese
ISBN 10 
3030570231
ISBN 13 
9783030570231
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
539
Redattore
Maleh Yassine, Shojafar Mohammad, Alazab Mamoun, Baddi Youssef
Contatto del produttore
GPSR Kontakt
ProductSafety@springernature.com

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Germania

Altre edizioni note dello stesso titolo

9783030570262: Machine Intelligence and Big Data Analytics for Cybersecurity Applications: 919

Edizione in evidenza

ISBN 10:  3030570266 ISBN 13:  9783030570262
Casa editrice: Springer-Nature New York Inc, 2021
Brossura