Feature selection for robust detection of distributed denial-of-service attacks using genetic algorithms

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3025, Issue , 2004, Pages 276-281

  Dimitris, Gavrilis ^a   Ioannis, Tsoulos ^b   Evangelos, Dermatas ^a  

^a UNIVERSITY OF PATRAS   (Greece)

^b UNIVERSITY OF IOANNINA   (Greece)

Author keywords

Denial of Service; Genetic Algorithms; Neural Networks

Indexed keywords

CRYPTOGRAPHY; GENETIC ALGORITHMS; NEURAL NETWORKS; PATTERN RECOGNITION; REAL TIME SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER CRIME; FEATURE EXTRACTION; INTERNET; NETWORK SECURITY; TRANSMISSION CONTROL PROTOCOL;

DENIAL OF SERVICE; GENETIC EVALUATION; ROBUST DETECTION; WINDOW SIZE; DDOS DETECTION; DISTRIBUTED DENIAL OF SERVICE ATTACK; INTERNET SERVICES; NEURAL NETWORK DETECTORS; STATISTICAL FEATURES;

FEATURE EXTRACTION; DENIAL-OF-SERVICE ATTACK;

EID: 9444219650     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24674-9_29     Document Type: Conference Paper

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