基于多Agent系统的计算机病毒免疫检测模型

目的 研究在局域网内检测、防范病毒的智能型病毒检测模型。方法 应用多Agent技术与生物免疫系统原理相结合的方法设计计算机病毒检测模型。结果 模型继承了生物免疫系统原理，并结合了多Agent系统的推理性和协作性等特点，具有较强的快速反应能力及自我演化功能等特点。结论 生物免疫原理与多Agent技术相结合可快速有效地检测局域网内的病毒，并能提高计算机对病毒的免疫能力。

Virus immune detecting model based on MAS

Aim To investigate an intelligent virus-detecting model mainly used in LAN.Methods The way used to design computer virus detecting model are multi-Agent technique and vertebrate immune system principle.Results The obtained model inherits the vertebrate immune system principle and combines the inference and cooperation characteristic of multi-Agent technique.The model has many merits,such as rapid response ability and the ability to updating itself.Conclusion The combination of vertebrate immune system principle and multi-Agent technique may rapidly and effectively detect virus in LAN,and improve the computer immune ability to virus.