Abstract: By analyzing the coverage space of detector set created by the adjustable fuzzy matching negative selection algorithm, aiming at the phenomenon of matching each other between detectors in detector set, this paper brings forward an algorithm of creating minimal effective detector set. This algorithm uses fuzzy thought to determine matching threshold and eliminates redundancy phenomenon in detector set effectively. Simulation results show that space coverage ratio of detector set created by this algorithm increases obviously, and it realizes using smaller detector set to detect nonself action in bigger range, increases detecting ratio and capability of system.

Key words: negative selection, detector, matching threshold, redundancy, space coverage ratio

摘要： 通过对可变模糊匹配阴性选择算法生成的检测器集覆盖空间的分析，针对检测器集中检测器之间出现的互相匹配的现象，提出一种最小有效检测器集生成算法。该算法利用模糊思想确定匹配阈值，有效去除了检测器集中的冗余现象。仿真结果表明，由该算法所生成的检测器集空间覆盖率显著提高，实现了以较小的检测器集合，检测到较大范围的“非己”行为，从而提高了系统的检索率和性能。

关键词: 阴性选择, 检测器, 匹配阈值, 冗余, 空间覆盖率

CLC Number: 

• TP301