A comparative study of fuzzy inference systems, neural networks and adaptive neuro fuzzy inference systems for portscan detection

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

Volumn 4974 LNCS, Issue , 2008, Pages 52-61

  Shafiq, M Zubair ^a   Farooq, Muddassar ^a   Khayam, Syed Ali ^b  

^a NATIONAL UNIVERSITY OF COMPUTER AND EMERGING SCIENCES   (Pakistan)

^b NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY   (Pakistan)

Author keywords

Adaptive Neuro Fuzzy Inference System (ANFIS); Information theoretic features; Neural networks; Portscan detection

Indexed keywords

ADAPTIVE ALGORITHMS; ADAPTIVE SYSTEMS; ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; BOOLEAN FUNCTIONS; CLASSIFICATION (OF INFORMATION); COMPUTATION THEORY; COMPUTER CRIME; CRACK PROPAGATION; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; IMAGE CLASSIFICATION; INFERENCE ENGINES; INTELLIGENT AGENTS; LEARNING ALGORITHMS; NEURAL NETWORKS; VEGETATION;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS); BACK-PROPAGATION (BP) ALGORITHMS; CLASSIFICATION ACCURACIES; CLASSIFICATION SCHEME (CS); COMPARATIVE STUDIES; DATA SETS; EUROPEAN; EVOLUTIONARY COMPUTATION (EC); EVOLUTIONARY COMPUTING; FUZZY INFERENCE SYSTEM (FIS); HEIDELBERG (CO); INDUCTIVE LEARNING;

FUZZY LOGIC;

EID: 47249157282     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-78761-7_6     Document Type: Conference Paper

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