基于粗糙集的入侵检测引擎设计及应用*

摘要

The architecture of intrusion detection engine based on rough sets, the detection engine module, implement principle and key technology, in three aspects the iftness function, transformation, on the particle code update of a particle on the quantum particle swarm algorithm was improved. The design and implementation of intrusion detection engine based on rough set. The experimental results show that, the improved quantum particle swarm in the reduction of the least number of cases the total detection rate reaches more than 97%, and in most cases is higher than other algorithms.%给出了基于粗糙集的入侵检测引擎架构，讨论了检测引擎个模块的功能、实现原理及关键技术，在适度函数、对粒子编码转换、粒子更新方式三个方面对量子粒子群约简算法进行了改进。设计并实现了基于粗糙集的入侵检测引擎。实验结果表明，改进后的量子粒子群在约简数最少的情况下总检测率均达到97%以上，且多数情况下高于其他算法。