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SP
1999
IEEE
184views Security Privacy» more  SP 1999»
14 years 7 hour ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
GLOBECOM
2006
IEEE
14 years 1 months ago
A Game Theoretic Approach to Detect Network Intrusions: The Cooperative Intruders Scenario
Abstract— In this paper, we consider the problem of detecting intrusions initiated by cooperative malicious nodes in infrastructure-based networks. We achieve this objective by s...
Mona Mehrandish, Hadi Otrok, Mourad Debbabi, Chadi...
DSN
2005
IEEE
14 years 1 months ago
ADEPTS: Adaptive Intrusion Response Using Attack Graphs in an E-Commerce Environment
Distributed systems with multiple interacting services, such as distributed e-commerce systems, are suitable targets for malicious attacks because of the potential financial impac...
Bingrui Foo, Yu-Sung Wu, Yu-Chun Mao, Saurabh Bagc...
CN
1999
115views more  CN 1999»
13 years 7 months ago
A large scale distributed intrusion detection framework based on attack strategy analysis
To appropriately address the problem of large-scale distributed intrusion assessment/detection, issues such as information exchange, work division and coordination amongst various...
Ming-Yuh Huang, Robert J. Jasper, Thomas M. Wicks
GPEM
2010
134views more  GPEM 2010»
13 years 6 months ago
An ensemble-based evolutionary framework for coping with distributed intrusion detection
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is presented. The algorithm is based on genetic p...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...