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» Combined Data Mining Approach for Intrusion Detection
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ACMSE
2005
ACM
14 years 2 months ago
Alert confidence fusion in intrusion detection systems with extended Dempster-Shafer theory
Accurate identification of misuse is a key factor in determining appropriate ways to protect systems. Modern intrusion detection systems often use alerts from different sources su...
Dong Yu, Deborah A. Frincke
SEC
2008
13 years 10 months ago
A Fuzzy Model for the Composition of Intrusion Detectors
The performance of an intrusion detector depends on several factors, like its internal architecture and the algorithms it uses. Thus, distinct detectors can behave distinctly when ...
Inez Raguenet, Carlos Maziero
ICONIP
2004
13 years 10 months ago
Hybrid Feature Selection for Modeling Intrusion Detection Systems
Most of the current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (...
Srilatha Chebrolu, Ajith Abraham, Johnson P. Thoma...
ACSC
2003
IEEE
14 years 1 months ago
Policies for Sharing Distributed Probabilistic Beliefs
In this paper, we present several general policies for deciding when to share probabilistic beliefs between agents for distributed monitoring. In order to evaluate these policies,...
Christopher Leckie, Kotagiri Ramamohanarao