Signature based intrusion detection using latent semantic analysis

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2008, Pages 1068-1074

  Lassez, Jean Louis ^a,b   Rossi, Ryan ^b   Sheel, Stephen ^b   Mukkamala, Srinivas ^c  

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b Department of Public Health   (United States)

^c NEW MEXICO INSTITUTE OF MINING AND TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CRIME; COMPUTER PROGRAMMING; GENETIC ALGORITHMS; GENETIC PROGRAMMING; INFORMATION THEORY; INTRUSION DETECTION; LINEAR PROGRAMMING; NEURAL NETWORKS; REAL TIME SYSTEMS; SECURITY OF DATA; SEMANTICS; SINGULAR VALUE DECOMPOSITION;

AUTOMATED CLASSIFICATIONS; DATA SETS; DECISION FUNCTIONS; DENIAL OF SERVICE ATTACKS; FEATURE SELECTION METHODS; FEATURE SELECTIONS; INTRUSION DETECTION SYSTEMS; KEY FEATURES; LATENT INFORMATIONS; LATENT SEMANTIC ANALYSIS; LINEAR GENETIC PROGRAMMINGS; LIVE PERFORMANCES; REAL DATA SETS; REAL TIMES; SINGULAR VALUES; SUPPORT VECTORS;

FEATURE EXTRACTION;

EID: 56349158810     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2008.4633931     Document Type: Conference Paper

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