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First Joint IEEE/IFIP Symposium on Theoretical Aspects of Software Engineering (TASE '07)
Self-adaptive Intrusion Detection System for Computational Grid
Shanghai, China
June 06-June 08
ISBN: 0-7695-2856-2
NI Jiancheng, Qufu Normal University, Rizhao 276826, CHINA
LI Zhishu, Sichuan University
SUN Jirong, Sichuan University
XING Jianchuan, Sichuan University
As Conventional intrusion detection systems cannot evolve with ceaselessly changing environment of computational Grid, a model of intrusion detection system named GIDIA based on immunity and multi Agents is developed with hierarchical architecture. Following definitions of immune model, detecting Agent, decision-making Agent, preventing Agent, and controlling Agent, relevant abstract mathematical models, evolving trends and inferential equations of Agents that are used in intrusion detection module, decision-making module, response module, and vaccine formation and distribution module are founded respectively. Theoretical analysis and experimental results show that GIDIA possesses better self-adaptability, higher detection rate, and offers a novel way to secure Grid member sites in the same trust community or different ones cooperatively.
Citation:
NI Jiancheng, LI Zhishu, SUN Jirong, XING Jianchuan, "Self-adaptive Intrusion Detection System for Computational Grid," tase, pp.97-106, First Joint IEEE/IFIP Symposium on Theoretical Aspects of Software Engineering (TASE '07), 2007
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