入侵检测模型中检测器的改进与优化

针对检测器算法收敛速度慢并且容易陷入早熟的缺点,依据传统的GA理论模型,引入了检测器冗余优化概念,利用均匀设计抽样理论,给出了一种检测器优化方案.对遗传算法中的交叉遗传算子进行了重新设计,对染色体的相似度及其相关内容进行了改进并使之与检测器冗余建立关联,得到了局部搜索策略和一种冗余数求解新方法.仿真实验表明,此改进方案...

Improving of Detector in Intrusion Detection Model Based on Immuno-genetic Algorithms(IGA)

The purpose of this paper is to give a new detector prioritization scheme which is founded on the basis of the combination of partial searching strategy and a new method to evaluate the data of redundancy.Based on traditional theoretical model of GA,the Optimization of Detector Redundancy,a new concept,with relevant content is introduced in this paper.Aiming at the low velocity algorithm convergence and its shortcomings of easy early-maturing,the theory of Uniform Design Sampling（UDS） are used to redesign the crossover operation of Genetic Algorithm Operator,and to improve both the degree of similarity of cyber-chromosome and its relevant content which are made to correlate with Detector Redundancy.Simulation experiment demonstrates that this scheme maintains the variety,high efficiency and sufficiency of the detector,so the scheme can be certified to have better performance in searching velocity and global optimal ability,improving detection rate and reducing false alarm rate.