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Abstract: Probing tools are widely used to discover system information. Once the information is known, attackers can launch computer attacks against the vulnerable services running on the system. Even though current computer systems are protected against known attacks by implementing a number of access restriction policies, protection against novel attacks still remains as an elusive goal for the researchers. Attackers defeat current protection and detection mechanisms by exploiting unknown weakness and... (Update)
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BibTeX entry: (Update)
@misc{ andrew-hybrid,
author = "Srinivas Mukkamala Andrew",
title = "Hybrid Multi-Agent Framework for Detection of Stealthy Probes",
url = "citeseer.ist.psu.edu/745982.html" }
Citations (may not include all citations):34 A neural network component for an intrusion detection system (context) - Debar, Becke et al. - 1992
31 Learning program behavior profiles for intrusion detection - Ghosh - 1999
24 Intrusion detection with neural networks - Ryan, Lin et al. - 1998
13 Mining fuzzy association rules and fuzzy frequency episodes .. (context) - Luo, Bridges - 2000
10 An application of a recurrent network to an intrusion detect.. (context) - Debar, Dorizzi - 1992
8 Intrusion detection using neural networks and support vector.. (context) - Mukkamala, Janoski et al. - 2002
7 New methods of intrusion detection using control-loop measur.. (context) - Cramer - 1995
5 Cost-based modeling and evaluation for data mining with appl.. (context) - Stolfo, Wei et al. - 1999
4 Identifying key features for intrusion detection using neura.. (context) - Mukkamala, Sung - 2002
1 Applying neural networks for misuse detection (context) - Cannady - 1998
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