期刊文献+

基于Agent技术和免疫机制的分布式入侵检测模型初探

Research of DIDS based on Agent technology and immune system
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摘要 针对入侵检测技术这一热点问题,在研究人工免疫的基础上,利用危险理论的机制和对危险信号的控制机制,并结合移动Agent技术实现分布式入侵检测,以避免单点失效.提出一种融合Agent技术和免疫机制的分布式入侵检测系统(DIDS)模型,保障入侵检测系统的实用性,并提高其性能. On the basis of research on artificial immune,it is discussed the system of danger theory and the control mechanism of danger signal ,using mobile agent technology to achieve distributed intrusion detection for the purpose of avoiding the single point becoming invalid.The purpose is to set a model of intrusion detection system based on the agent technology and mechanism of immune,which guarantees the feasibility and improves the functions of intrusion detection system.
出处 《云南大学学报(自然科学版)》 CAS CSCD 北大核心 2009年第S1期84-87,共4页 Journal of Yunnan University(Natural Sciences Edition)
关键词 入侵检测 免疫机制 危险理论 移动AGENT intrusion detection immune mechanism danger theory mobile agent
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  • 1孙勇智,戴晓晖,韦巍.人工免疫响应的模型研究[J].浙江大学学报(工学版),2004,38(6):682-686. 被引量:5
  • 2戚湧,张琨,刘凤玉,衷宜.基于生物免疫学的分布式入侵检测系统模型[J].计算机工程与设计,2004,25(4):481-483. 被引量:7
  • 3张雪芹,顾春华,林家骏.入侵检测技术的挑战与发展[J].计算机工程与设计,2004,25(7):1096-1099. 被引量:14
  • 4杨德明,潘进,赵爽.基于机器学习的移动自组织网络入侵检测方法[J].计算机应用,2005,25(11):2557-2558. 被引量:3
  • 5Jai Sundar Balasubramaniyan, Jose Omar Garcia- Fernandez, David Isacoff, et al, An Architecture for Intrusion Detection Using Autonomous Agents [ R ]. Technical Report 98- 05, COAST Laboratory, Purdue University, West Lafayette, IN 47907-1398, CERIAS Tech Report TR-99-11 17,1998.
  • 6AICKELIN U, GREENSMITH J, TWYCROSS J. Immune System Approaches to Intrusion Detection - A Review, Proceedings International Conference on Artificial Immune Systems [ C]. Catania, Italy,2004.316 - 329.
  • 7KIM J, BENTLEY P. Towards an Artificial Immune System for Network Intrusion Detection: An Investigation of Dynamic Clonal Selection[ A]. The Congress on Evolutionary Computation[ C]. 2002. 1015- 1020.
  • 8KIM J, BENTLEY P. Immune Memory in the Dynamic Clonal Selection Algorithm[ A]. Proceedings of the First International Conference on Artificial Immune Systems(ICARIS) [ C]. Canterbury,2002.57 - 65.
  • 9GONZALEZ F, DASGUPTA D, GOMEZ J. The Effect of Binary matching Rules in Negative Selection[ A]. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) [C].2003. 196 - 206.
  • 10GONZALEZ F, DASGUPTA D, NINO L. A Randomized Real -Valued Negative Selection Algorithm[ A]. Proceedings of the 2nd International Conference on Artificial Immune Systems[ C]. Edinburgh, UK, 2003. 261 - 272.

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