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一种基于免疫原理的动态入侵检测模型 被引量:2

An Innovative Immune-based Dynamic Intrusion Detection Model
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摘要 根据生物免疫原理,提出了一个新的动态入侵检测模型,并对模型的体系结构作了详细的描述,包括自体的演化、动态耐受和动态免疫记忆过程的数学描述,同时提出基于LRU算法的记忆检测器动态降职机制。实验表明该模型具有更好的动态性和有效性。 Based on the research of the biological immune system principle, an innovative intrusion detection immune system model is presented and analyzed in full. The mathematic description model of the dynamic self, dynamic immune tolerance and immune memory is established, and a memory detector dynamic demotion mechanism based on the LRU algorithm is provided. The experiment results show that the proposed intrusion detection model has a better adaptability and validity than the traditional method.
出处 《计算机工程》 CAS CSCD 北大核心 2006年第16期160-162,共3页 Computer Engineering
基金 陕西省自然科学基金资助项目(2004F14) 军用信息网基金资助项目
关键词 入侵检测 人工免疫 动态降职 否定选择 Intrusion detection Artificial immune Dynamic demotion Negative selection
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  • 1Forrest S, Perelson A S, Cherukuri L A. Self-nonself Discrimination in a Computer[C]. Proc. of IEEE Symposium on Research in Security and Privacy, Oakland, CA, 1994:202-212.
  • 2Hofmeyr S, Forrest S. Architecture for An Artificial Immune System[J]. Evolutionary Computation, 2000, 8(4): 443-473.
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  • 4Kim J, Bentley P. Towards An Artificial Immune System for Network Intrusion Detection: An Investigation of Dynamic Clonally Selection [C]. Proc. of the Congress on Evolutionary Computation,Honolulu, 2002:1015-1020.
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