Adaptive clustering for network intrusion detection

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

Volumn 3056, Issue , 2004, Pages 255-259

  Oldmeadow, Joshua ^a   Ravinutala, Siddarth ^a   Leckie, Christopher ^a,b  

^a ARC Special Research Centre for Ultra Broadband Information Networks   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; DATA MINING; COMPUTER NETWORKS; TELECOMMUNICATION TRAFFIC;

ADAPTIVE CLUSTERING; ANOMALY DETECTION SYSTEMS; CLASSIFICATION ACCURACY; CLUSTERING TECHNIQUES; FEATURE WEIGHTING; NETWORK INTRUSION DETECTION; NETWORK TRAFFIC; NON-STATIONARY TRAFFICS;

INTRUSION DETECTION; ARTIFICIAL INTELLIGENCE;

NETWORK INTRUSION DETECTION; NETWORK TRAFFIC; TRAFFIC DISTRIBUTION;

EID: 7444268118     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24775-3_33     Document Type: Conference Paper

References (7)

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