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分析了生物免疫系统在人工智能系统研究中优良的隐喻机理,针对免疫病理转移造成的入侵检测系统(IDS)的安全漏洞,将生物免疫优良的隐喻机理应用于入侵检测分析引擎的研究与开发,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。该方案避免了免疫病理机制转移进入IDS造成的安全隐患以及现有入侵检测引擎虚警与误警率高的缺陷,增强了IDS的实时性、健壮性、高效性、并行性和可适应性。
The metaphorical mechanism of biological immune system in the research of artificial intelligence system is analyzed. According to the security loopholes in Intrusion Detection System (IDS) caused by immune pathological transfer, the metaphorical mechanism of biological immunity is applied to the research and development of intrusion detection and analysis engine, A kind of optimization algorithm of measure parameters is designed. Based on this, a hybrid intrusion detection and analysis engine is proposed. The scheme avoids the potential safety hazard caused by the transfer of immunopathological mechanisms into IDS and the high false alarm and false alarm rate of existing intrusion detection engines, and enhances the real-time performance, robustness, high efficiency, parallelism and adaptability of IDS.