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» Data Fusion and Cost Minimization for Intrusion Detection
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CCS
2008
ACM
13 years 9 months ago
Principled reasoning and practical applications of alert fusion in intrusion detection systems
It is generally believed that by combining several diverse intrusion detectors (i.e., forming an IDS ensemble), we may achieve better performance. However, there has been very lit...
Guofei Gu, Alvaro A. Cárdenas, Wenke Lee
PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
14 years 1 months ago
A Random Method for Quantifying Changing Distributions in Data Streams
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Haixun Wang, Jian Pei
ACMSE
2005
ACM
14 years 1 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
NOMS
2010
IEEE
222views Communications» more  NOMS 2010»
13 years 6 months ago
Bayesian decision aggregation in collaborative intrusion detection networks
—Cooperation between intrusion detection systems (IDSs) allows collective information and experience from a network of IDSs to be shared to improve the accuracy of detection. A c...
Carol J. Fung, Quanyan Zhu, Raouf Boutaba, Tamer B...
DBSEC
2001
115views Database» more  DBSEC 2001»
13 years 9 months ago
Randomly roving agents for intrusion detection
Agent based intrusion detection systems IDS have advantages such as scalability, recon gurability, and survivability. In this paper, we introduce a mobile-agent based IDS, called ...
Ira S. Moskowitz, Myong H. Kang, LiWu Chang, Garth...