基于遗传算法的网络入侵检测方法研究

According to Heredity the Calculate Way’s Network Invade to Examine the Method Research

针对目前大多数入侵检测系统存在的局限性,依据通用入侵检测框架提出了一种利用遗传算法的入侵检测模型,分析了入侵模糊特征、模糊神经网络的学习优化问题。给出了此模型中模糊神经网络模块的训练算法。仿真实验结果表明该检测算法可以有效地进行入侵检测,检测效率达到92%以上。

Aim at to now and mostly invade the localization, this text that examine system's exsits the basis in general use invaded to examine the frame to bring up the invading of calculate way of a kind of exploitation heredity to examine the model, and analyzes to invade the study of the misty characteristic, misty nerve network the problem.Give outed this modeled the inside of the training calculate way of the piece of misty nerve network mold.Imitating the true experiment to consequently express should examine the calculate way can availably proceeds to invade examination, examination the efficiency attain 92% above.