NDLI: Success Likelihood of Ongoing Attacks for Intrusion Detection and Response Systems

Content Provider	IEEE Xplore Digital Library
Author	Kanoun, W. Cuppens-Boulahia, N. Cuppens, F. Dubus, S. Martin, A.
Copyright Year	2009
Abstract	Intrusion Detection and Response Systems have become a core component in modern security architectures. Current researches are combining intrusion detection and response systems with risk analysis or cost-sensitive approaches to enhance the detection and the response procedure, by assessing the risk of detected attacks and candidate countermeasures. The Risk has two primary dimensions: (i) the likelihood of success of the attack(s), and (ii) the impact of the attack(s) and the countermeasure(s).In this paper, we present a model to assess the success likelihood of attack objectives. This model can be used by intrusion detection and response systems to identify candidate ongoing scenarios, calculate dynamically the likelihood of success for each of them considering the progress of the attack and the state of the target system, and finally prioritize candidate intrusion objectives and associated countermeasures.
Starting Page	83
Ending Page	91
File Size	397298
Page Count	9
File Format	PDF
ISBN	9781424453344
DOI	10.1109/CSE.2009.233
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-29
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Telecommunication traffic Telecommunication computing Risk analysis Counting circuits Intelligent networks intrusion objective Intrusion detection Information security intrusion detection and response systems Success likelihood Cryptography dynamic Markov model Intelligent systems
Content Type	Text
Resource Type	Article

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