一种分段检测器集合生成算法的研究与实现

目前大多数入侵检测算法的研究均用于提高系统检测的准确率和对非法抗原的覆盖率,缺乏对提高算法检测速度的研究。针对这一问题,提出一种新的基于否定选择的检测器生成算法,利用分段的方法,先将候选检测器集合的大小利用求解递归公式计算出来,再用求解序号随机生成检测器。实验表明,该算法的时间效率得到显著提高,并具有实际的工程应用价值。

A segmented detectors set creating algorithm research and realization

At present, most intrusion detection algorithms are used to improve the accuracy of detection and system for illegal antigen coverage, the lack of detection rate of improved algorithm. Aiming at this problem, this paper proposes a new detector generation algorithm based on negative selection. Using the segmentation method, the candidate set of detector size using the recursion formula, and then solve the serial number of randomly generated detector. Experimental results show that, the time efficiency of the algorithm is significantly improved, and has practical application value.