Intensive use of Bayesian belief networks for the unified, flexible and adaptable analysis of misuses and anomalies in network intrusion detection and prevention systems

Proceedings - International Workshop on Database and Expert Systems Applications, DEXA

Volumn , Issue , 2007, Pages 365-371

  Bringas, Pablo García ^a  

^a UNIVERSITY OF DEUSTO   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; BAYESIAN NETWORKS; COMPUTER CRIME; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; EXPERT SYSTEMS; INFORMATION THEORY; INTERNET; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION; PROBLEM SOLVING; REAL TIME SYSTEMS; SECURITY OF DATA; TECHNICAL PRESENTATIONS;

ANOMALY DETECTIONS; BAYESIAN; BAYESIAN BELIEF NETWORKS; EVIDENCE PROPAGATIONS; HISTORICAL DATUMS; MISUSE DETECTIONS; NETWORK INTRUSION DETECTION SYSTEMS; NETWORK INTRUSION DETECTIONS; NETWORK TRAFFICS; PARAMETRIC LEARNINGS; SEQUENTIAL ADAPTATIONS; TARGET SYSTEMS; TIME ANALYSES;

INTRUSION DETECTION;

EID: 47849131097     PISSN: 15294188     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEXA.2007.38     Document Type: Conference Paper

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