摘要: 基于人工免疫的入侵检测技术是网络安全的一个新兴研究领。运用人体免疫系统的出色功能,对负选择算法进行并行化设计,根据程序并行性的条件将串行的负选择算法中的任务进行划分,由多个处理机并行求解子任务,并将子解合并获得问题的解。分析表明,基于人工免疫的入侵检测系统负选择并行算法获得线性加速。
关键词:
入侵检测,
人工免疫,
负选择,
并行算法
Abstract: The intrusion detection technique based on artificial immune theory is a new research area. Based on artificial immune theory, thispaper designs the negative selection algorithms on the parallel computer systems by dividing the task into multiple sub-tasks, parallel solving themultiple sub-tasks and combining the sub-solutions into the final result. The analysis result shows that the parallel algorithms obtain linear speedup.
中图分类号:
葛丽娜,钟诚. 基于人工免疫的入侵检测系统负选择并行算法[J]. , 2005, 31(12): 143-145.
GE Lina1,2, ZHONG Cheng1. Parallel Negative Selection Algorithm in Intrusion Detection System Based on Artificial Immune Theory[J]. , 2005, 31(12): 143-145.