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» Intrusion Detection using Continuous Time Bayesian Networks
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ACSAC
2003
IEEE
13 years 11 months ago
Bayesian Event Classification for Intrusion Detection
Intrusion detection systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of lega...
Christopher Krügel, Darren Mutz, William K. R...
UAI
2003
13 years 8 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
ISI
2008
Springer
13 years 7 months ago
Real time intrusion prediction, detection and prevention programs
An Intrusion Detection Program (IDP) analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. In this talk, we p...
A. Abraham
AINA
2009
IEEE
14 years 17 days ago
Correlating TCP/IP Interactive Sessions with Correlation Coefficient to Detect Stepping-Stone Intrusion
-- Most network intruders launch their attacks through stepping-stones to reduce the risks of being discovered. To uncover such intrusions, one prevalent, challenging, and critical...
Guoqing Zhao, Jianhua Yang, Gurdeep S. Hura, Long ...
ICPR
2008
IEEE
14 years 1 months ago
A network intrusion detection method using independent component analysis
An intrusion detection system (IDS) detects illegal manipulations of computer systems. In intrusion detection systems, feature reduction, including feature extraction and feature ...
Dayu Yang, Hairong Qi