Construction of high precision RBFNN with low false alarm for detecting flooding based denial of service attacks using stochastic sensitivity measure

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

Volumn 3930 LNAI, Issue , 2006, Pages 851-860

  Ng, Wing W Y ^a   Chan, Aki P F ^a   Yeung, Daniel S ^a   Tsang, Eric C C ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ALARM SYSTEMS; COMPUTER CRIME; COMPUTER PRIVACY; ERROR ANALYSIS; RANDOM PROCESSES; SENSITIVITY ANALYSIS;

DENIAL OF SERVICE (DOS) ATTACKS; INTRUSION DETECTION SYSTEM (IDS); STOCHASTIC SENSITIVITY;

RADIAL BASIS FUNCTION NETWORKS;

EID: 33745767769     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11739685_89     Document Type: Conference Paper

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