A novel adaptive intrusion detection approach based on comparison of neural networks and idiotypic networks

Proceedings of 2009 2nd International Workshop on Nonlinear Dynamics and Synchronization, INDS 2009

Volumn , Issue , 2009, Pages 203-208

  Zhao, Linhui ^a   Fang, Xin ^a   Dai, Yaping ^b  

^a BEIJING UNION UNIVERSITY   (China)

^b BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Idiotypic networks; Intrusion detection; Neural networks; Pattern recognition

Indexed keywords

ADAPTIVE DETECTION; DATA SETS; DETECTION ACCURACY; DETECTION ALGORITHM; DETECTION APPROACH; FALSE POSITIVE RATES; IDIOTYPIC NETWORKS; IMMUNE PRINCIPLE; IMMUNE RESPONSE; INTRUSION DETECTION APPROACHES; LEARNING ABILITIES; LEARNING METHODS; MULTI-LAYER PERCEPTION; NETWORK MODELS; PATTERN RECOGNITION TECHNOLOGIES; TOPOLOGICAL STRUCTURE;

CLONING; NEURAL NETWORKS; PATTERN RECOGNITION; SIGNAL DETECTION; STRUCTURAL OPTIMIZATION; SYSTEMS ANALYSIS;

INTRUSION DETECTION;

EID: 70350442135     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Jerne NK, "Towards a network theory of the immune system," Annals of Immunology, vol. 125C, no.I-2, pp. 373-389, Jan. 1974.
2. John E. Hunt and Denise E. Cooke. "An adaptive, distributed learning system, based on the immune system". Proceedings of the IEEE International Conference on Systems, Man and Cybernatics, vol.3, no.22-25, pp. 2494-2499, Oct. 1995.
3. Hunt J, Cooke D. "Learning using an artificial immune system". Journal of Network and Computer Applications: Special issue on Intelligent System Design and Application, vol. 19, no.2, pp.189-212, April 1996.
4. Timmis, J., Neal, M. and Hunt, J., "An artificial immune system for data analysis," Biosystems, vol.55, no.1-3, pp.143-150, Feb. 2000.
5. Nunes L, Fernando J. "An evolutionary immune network for data clustering," Proceedings of Brazilian Symposium on Neural Networks, Los Alamitos, IEEE Computer Society Press, vol. 1, pp. 84-89, Nov. 2000.
6. Tom Morrison and Uwe Aickelin, "An Artificial Immune System as a Recommender for Web Sites", Proceedings of the 1st International Conference on Artificial Immune Systems (ICARIS-2002), Canterbury, UK, pp 161-169, Sep. 2002.
7. S. Cayzer and U. Aickelin. "A Recommender System based on Idiotypic Artificial Immune Networks", Journal of Mathematical Modeling and Algorithms, vol.4, no.2, pp 181-198, Feb. 2005.
8. Uwe Aickelin, Julie Greensmith, Jamie Twycross, "Immune system approaches to intrusion detection - A review," Proceedings International Conference on Artificial Immune systems, Catania, Italy, pp.316-329, Sep. 2004.
9. Zhao Lin-hui, DAI Ya-ping, FU Dong-mei, DONG Fang-yan," Intrusion detection approach based on artificial idiotypic network," Transactions of Beijing Institute of Technology, vol.26, no.9, pp.809-812, Sep. 2006.
10. Zhao Lin-hui, Wang Yumin, Xiao Jing, Dai Ya-ping, Dong Fang-yan, Liu Hai-le, "A three-level-module adaptive intrusion detection system", 2007 IEEE International Conference on Networking, Sensing, and Control, London, UK, pp.840-845, April 2007.
11. Linhui Zhao, Xin Fang, Yaping Dai. "A multi-mutation pattern immune network for intrusion detection", 4th International Conference on Information and Automation for Sustainability, Colombo, Sri Lanka, pp.120-125, Dec. 2008.