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文章通过研究现有的入侵检测系统和学习计算免疫系统,提出了一种基于免疫的入侵检测模型。它运用免疫系统的多层性、分布性、自组织性等特性,通过具有免疫特性的多Agent实时检测网络,提高网络系统的安全性,具有分布性、适应性等特点。
By studying the existing intrusion detection system and learning to calculate the immune system, this paper proposes an immune-based intrusion detection model. It uses the characteristics of the multi-layered, distributed and self-organizing immune system to improve the security of the network system through the real-time detection of multi-agent network with immune characteristics and has the characteristics of distribution and adaptability.