Intrusion detection based on "hybrid" propagation in Bayesian networks

2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009

Volumn , Issue , 2009, Pages 137-142

  Jemili, Farah ^a   Zaghdoud, Montaceur ^a   Ahmed, Mohamed Ben ^a  

^a UNIVERSITY OF MANOUBA   (Tunisia)

Author keywords

Bayesian network; Entrusion detection; Hybrid propagation; Junction tree inference; Learning

Indexed keywords

BAYESIAN MODEL; CAUSAL RELATIONSHIPS; DECISION PROBLEMS; ENTRUSION DETECTION; EPISTEMIC UNCERTAINTIES; GRAPHICAL MODELING; HYBRID PROPAGATION; INTRUSION DETECTION SYSTEMS; JUNCTION TREE INFERENCE; LEARNING; MALICIOUS BEHAVIOR; NATURAL VARIABILITY; NETWORK BASED INTRUSION DETECTION SYSTEMS; SIGNATURE RECOGNITION; STOCHASTIC PHENOMENA;

BAYESIAN NETWORKS; COMPUTER CRIME; DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS; INTERSYMBOL INTERFERENCE; KNOWLEDGE BASED SYSTEMS; SPEECH RECOGNITION; STOCHASTIC MODELS; UNCERTAINTY ANALYSIS;

INTRUSION DETECTION;

EID: 70350044841     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISI.2009.5137285     Document Type: Conference Paper

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