An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection

Expert Systems with Applications

Volumn 39, Issue 2, 2012, Pages 1822-1829

  Catania, Carlos A ^a   Bromberg, Facundo ^b   Garino, Carlos García ^a  

^a UNIVERSIDAD NACIONAL DE CUYO   (Argentina)

^b FRM UTN ^*  (Argentina)

Author keywords

Anomaly detection; Intrusion detection systems; Labeling; SVM

Indexed keywords

ANOMALY DETECTION; CLASS DISTRIBUTIONS; DARPA DATASET; DATA SETS; INTRUSION DETECTION SYSTEMS; NETWORK INTRUSION DETECTION; NETWORK TRAFFIC; NOVELTY DETECTION; SUPPORT VECTOR MACHINES ALGORITHMS; SVM; SVM ALGORITHM;

ALGORITHMS; COMPUTER CRIME; SUPPORT VECTOR MACHINES;

INTRUSION DETECTION;

EID: 80054915787     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.08.068     Document Type: Conference Paper

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