Foundations and applications of artificial Intelligence for zero-day and multi-step attack detection

Foundations and applications of artificial Intelligence for zero-day and multi-step attack detection

Abstract Behind firewalls, more and more cybersecurity attacks are specifically targeted to the very network where they are taking place. This review proposes a comprehensive framework for addressing the challenge of characterising novel complex threats and relevant counter-measures. Two kinds of at...

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Bibliographic Details
Main Authors: Pierre Parrend, Julio Navarro, Fabio Guigou, Aline Deruyver, Pierre Collet
Format: Article
Language:English
Published: SpringerOpen 2018-04-01
Series:EURASIP Journal on Information Security
Subjects:
Zero-day attack
Multi-step attack
Anomaly detection
Intrusion detection
Security investigation
Online Access:http://link.springer.com/article/10.1186/s13635-018-0074-y

Internet

http://link.springer.com/article/10.1186/s13635-018-0074-y

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