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基于并行计算及人工免疫的入侵检测模型
引用本文:符海东,王枫. 基于并行计算及人工免疫的入侵检测模型[J]. 计算机工程与设计, 2007, 28(11): 2547-2548,2719
作者姓名:符海东  王枫
作者单位:武汉科技大学,计算机学院,湖北,武汉,430081;武汉科技大学,计算机学院,湖北,武汉,430081
摘    要:免疫技术是目前入侵检测发展的一个趋势,通过分析了生物免疫系统的机制和原理,介绍了基于免疫原理的入侵检测系统,针对算法及模型存在的不足,提出了基于并行计算的r连续位匹配规则,并根据新的算法提出了一个包含基于遗传算法的模式识别器的入侵检测模型,实验表明运用上面提出的算法及模型提高了系统的模式识别的效率和智能性.

关 键 词:计算机免疫  反向选择  入侵检测  并行计算  遗传算法
文章编号:1000-7024(2007)11-2547-02
修稿时间:2006-06-20

Intrusion detection system model based on parallel algorithms and immunlogical principle
FU Hai-dong,WANG Feng. Intrusion detection system model based on parallel algorithms and immunlogical principle[J]. Computer Engineering and Design, 2007, 28(11): 2547-2548,2719
Authors:FU Hai-dong  WANG Feng
Affiliation:Dept.of Computer Science and technology, Wuhan University of Science and Technology, Wuhan 430081, China
Abstract:The immunological principal is a developing trend of intrusion diction systems. The detailed analyses have been made on the immunological principle. The intrusion detection systems based on immunological principle are introduced. In particular, aimed at the deficiency of the algorithms and models, the rule of the pattern matching about character codes is improved by applying the parallel algorithms. Above that genetic algorithm is added into a new immune detector. Through the improvement the system is effectively accelerated. The experiment showed that non-linearity and adaptivity of model is advanced.
Keywords:immune technology of computer   negative selection   intrusion detection   parallel algorithms   genetic algorithm
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