DocumentCode
2143909
Title
Evaluation of Deviating Alerts coming from Behavioral Intrusion Detection System
Author
Saraydaryan, Jacques ; Legrand, Veronique ; Ubeda, Stephane
Author_Institution
CITI INSA-Lyon, Lyon
fYear
2007
fDate
14-20 Oct. 2007
Firstpage
115
Lastpage
121
Abstract
The growth of behavioral intrusion detection solutions raises a new issue. The update of normal references is necessary and determines the flexibility and accuracy of the detection. This paper describes a decision block function used to update a behavioral intrusion detection method. Based on a risk analysis and support vector machines, our approach completes the behavioral anomaly detection using Bayesian modeling based on a global vision of the system approach.
Keywords
Bayes methods; risk analysis; security of data; support vector machines; Bayesian modeling; behavioral anomaly detection; behavioral intrusion detection system; decision block function; risk analysis; support vector machines; Bayesian methods; Engines; Event detection; Information security; Information systems; Intrusion detection; Machine vision; Monitoring; Risk analysis; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Security Information, Systems, and Technologies, 2007. SecureWare 2007. The International Conference on
Conference_Location
Valencia
Print_ISBN
978-0-7695-2989-9
Type
conf
DOI
10.1109/SECUREWARE.2007.4385320
Filename
4385320
Link To Document