摘要: 针对目前入侵检测系统(IDS)的缺陷与不足,将人工智能应用于入侵检测分析引擎的研究与开发。利用遗传算法的优良机理设计了一类测度参数优化算法,并在此基础上提出了一类混合入侵检测分析引擎,方案较好地避免了现有入侵检测引擎的缺陷与安全漏洞,增强了IDS的实时性、健壮性、高效性、并行性和可适应性。
关键词:
人工智能,
入侵检测,
遗传算法,
混合检测引擎
Abstract: In this paper, detailed analysis is made on the application of artificial intelligence in IDS analysis engine, and an algorithm for optimizing measure parameters based on genetic algorithm is designed together with a hybrid intrusion detection engine. Through the application of group optimization in artificial intelligence, the scheme precludes the security threats from holes in detection engine, and reinforces the robustness, efficiency, adaptability, real-time and paralleling operating of IDS.
中图分类号:
杨晓元,周宣武,魏萍,张敏情. 人工智能在入侵检测分析引擎中的应用研究[J]. , 2004, 30(23): 51-.
YANG Xiaoyuan, ZHOU Xuanwu, WEI Ping, ZHANG Mingqing. Studies on Application of Artificial Intelligence in Intrusion Detection Analysis Engine[J]. , 2004, 30(23): 51-.