SCIDS: A Soft Computing Intrusion Detection System

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

Volumn 3326, Issue , 2004, Pages 252-257

  Abraham, Ajith ^a   Jain, Ravi ^b   Sanyal, Sugata ^c   Han, Sang Yong ^a  

^a Chung Ang University   (South Korea)

^b DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION   (Australia)

^c TATA INSTITUTE OF FUNDAMENTAL RESEARCH   (India)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CRIME; DECISION TREES; FUZZY INFERENCE; GENETIC ALGORITHMS; GENETIC PROGRAMMING; INTRUSION DETECTION; DISTRIBUTED COMPUTER SYSTEMS; MERCURY (METAL); SOFT COMPUTING;

FUZZY RULE-BASED CLASSIFIER; INTRUSION DETECTION SYSTEMS; INTRUSION-DETECTION; LIGHT WEIGHT; LINEAR GENETIC PROGRAMMING; PERFORMANCE; SOFT COMPUTING APPROACHES; SOFT-COMPUTING; SUPPORT VECTORS MACHINE;

SOFT COMPUTING; INTRUSION DETECTION;

EID: 35048856986     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30536-1_29     Document Type: Article

References (11)

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