The application of genetic algorithm to intrusion detection in MP2P network

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

Volumn 7331 LNCS, Issue PART 1, 2012, Pages 390-397

  Li, Lu ^a   Zhang, Guoyin ^a   Nie, Jinyuan ^b   Niu, Yingjiao ^a   Yao, Aihong ^a  

^a HARBIN ENGINEERING UNIVERSITY   (China)

^b Defence Industry Secrecy Examination and Certification Center   (China)

Author keywords

eigenvector; genetic algorithm; intrusion detection; MP2P; network security

Indexed keywords

ACTIVE DETECTION; DYNAMIC MONITORING; INITIAL POPULATION; INTRUSION DETECTION METHOD; INTRUSION DETECTION SCHEME; MP2P; REAL-TIME PROTECTION; RESEARCH RESULTS;

ARTIFICIAL INTELLIGENCE; EIGENVALUES AND EIGENFUNCTIONS; GENETIC ALGORITHMS; NETWORK SECURITY; POPULATION STATISTICS;

INTRUSION DETECTION;

EID: 84875120576     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-30976-2_47     Document Type: Conference Paper

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