基于支持向量机与移动Agent的入侵检测系统模型

Intrusion Detection System Model Based on Support Vector Machine and Mobile Agent

目前要发展新的入侵检测系统必须解决检测准确性、高效性的问题,同时要考虑分布式智能化的检测方法.提出一种采用基于支持向量机与移动Agent技术的入侵检测系统模型,利用支持向量机对小样本、高维非线性数据良好的分类性能,将其作为检测工具;利用移动Agent的智能性、移动性,在网络节点间进行迁移检测入侵.给出了相应的模型结构.

To develop a new IDS, the problem of detecting accuracy and efficienly need to be solved, and intellectualized distributed detecting method should be put into consideration. In this paper, we bring forward an IDS based on Support Vector Machine and mobile Agent technology. It makes use of SVM as a detecting tool because of its good classification performance when dealing with problems of high dimension nonlinear data with small sample set and high dimension non - linear data. Intellectuality and transferability of mobile Agent is utilized to move and detect intrusion among network nodes. A configuration of system model based on SVM and mobile Agent was presented, and some functional model design and system environment were introduced.