基于适应性免疫的ADIDS模型研究  

Research of ADIDS based on adaptive immune system

作　　者：张正球[1] 姚志强[1] 颜西山[1] 张金颖[1] 

机构地区：[1]福建师范大学软件学院,福州350007

出　　处：《计算机应用研究》2009年第12期4784-4786,共3页Application Research of Computers

基　　金：国家自然科学基金资助项目(60673014);福建省教育厅A类资助项目(0311036)

摘　　要：提出了一种基于适应性免疫和移动agent的分布式入侵检测系统(AD IDS)的新模型。充分利用agent本身的独立性与自主性,削弱各检测部件间的相关性;同时将适应性免疫原理引入模型中,检测子通过自我学习进化和变异,实现识别新的特殊种类的入侵;通过免疫记忆和自裂变,加速未来的检测和降低误报率,提高了系统的检测能力和效率。仿真实验证明了模型的检测效率高、误报率低、自适应性强。Proposed a distributed ADIDS based on agent and adaptive immune system. The model made full use of the autonomy of agent, and weakened the relationship of them, with the introduction of adaptive immune principle, to identify new special intrusion by self-study and evolution, and to quicken up future detection-speed and lower false-detection rate by immunitymemory and self-clone. These methods improved the ability and the efficiency of intrusion detection. Experimental results show that the model possesses higher efficiency and veracity with adaptability and expansibility and agility.

关 键 词：适应性免疫 亲和力 代理 入侵检测 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]