Intrusion detection system based on immune algorithm and support vector machine in wireless sensor network

Communications in Computer and Information Science

Volumn 86 CCIS, Issue , 2011, Pages 372-376

  Chen, Yu Sheng ^a   Qin, Yu Sheng ^b   Xiang, Yu Gui ^c   Zhong, Jing Xi ^d   Jiao, Xu Long ^d  

^a NORTH CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Gu Yuan Earthquake Platform of Earthquake Bureau of Ning Xia Province   (China)

^c Beijing Zhao Fang Investment Trust Co Ltd   (China)

^d Kongzhuang Mine   (China)

Author keywords

Feature selection; immunity algorithm (IA); Intrusion Detection System (IDS); support vector machine (SVM)

Indexed keywords

FEATURE SELECTION; IMMUNE ALGORITHM; IMMUNE ALGORITHMS; IMMUNITY ALGORITHMS; INTRUSION DETECTION SYSTEM (IDS); INTRUSION DETECTION SYSTEMS; NETWORK DATA; NETWORK INTRUSION DETECTION SYSTEMS; PREPROCESS;

ALGORITHMS; COMPUTER CRIME; FEATURE EXTRACTION; SUPPORT VECTOR MACHINES; VECTORS;

INTRUSION DETECTION;

EID: 79955444737     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-19853-3_54     Document Type: Conference Paper

References (3)

1. Vapnik, V.N.: Statistical study theory essential. Qinghua University publishing press, Beijing (1995)
2. Yu, S.-C.: Method for Getting Inter-Independent Features Used to Intrusion Detection System In Controllable and Trusted Networks. In: GCIS 2009, pp. 461-465 (2009)
3. Fan, Y.-t., Yu, S.-c.: System for Performing Resource Management and Control and Task Scheduling in Grid Computing. In: ISCSCT 2008, vol. 12, pp. 648-650 (2008)