Intelligent Bayesian classifiers in network intrusion detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3533 LNAI, Issue , 2005, Pages 445-447

  Bosin, Andrea ^a   Dessì, Nicoletta ^a   Pes, Barbara ^a  

^a UNIVERSITY OF CAGLIARI   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTER NETWORKS; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL MODELS; PROCESS CONTROL;

BAYESIAN CLASSIFICATION APPROACHES; CLASSIFICATION MODELS; INTELLIGENT BAYESIAN CLASSIFIERS; INTRUSION DETECTION (ID);

ARTIFICIAL INTELLIGENCE;

EID: 26944501944     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11504894_62     Document Type: Conference Paper

References (4)

1. Lee W., Stolfo S. J., A Framework for Constructing Features and Models for Intrusion Detections Systems, ACM Transactions on Information and System Security, Vol. 3, No. 4, Nov. 2000, p. 227.
2. Lee, W.: Applying Data Mining to Intrusion Detection: the Quest for Automation, Efficiency, and Credibility, SIGMOD Explorations, 2002, Vol. 4, Issue 2.
3. Yarmus J.S., ABN: A Fast, Greedy Bayesian Network Classifier, 2003. http://otn.oracle.com/products/bi/pdf/adaptive_bayes_ne t.pdf.
4. UCI KDD Archive. http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html.