智能型入侵检测系统的研究  

Intelligent Intrusion Detection System

作　　者：陆立峥[1] 陈金山[1] 

机构地区：[1]福建农林大学,福建福州350002

出　　处：《廊坊师范学院学报（自然科学版）》2012年第4期27-30,共4页Journal of Langfang Normal University(Natural Science Edition)

基　　金：福建省自然基金项目(2009J01270)

摘　　要：针对目前现有的入侵检测系统在识别入侵行为的准确性和对新的攻击行为的检测方面效率不高,适应性和灵活性较差的缺点,项目组将神经网络与入侵检测系统相结合,利用神经网络的自学习、自适应能力解决入侵检测系统的智能化问题,构建了智能型入侵检测系统。该系统具有较高的检测正确率和识别入侵行为的能力。In view of the current existing intrusion detection system to identify intrusion behavior accurately and the new attack behavior detection efficiency is high, the shortcomings of poor adaptability and flexibility, the neural network with intrusion detection system combined with neural network, selflearning, adaptive ability to solve intrusion detection system intelligent problem, and construct ANN intelligent intrusion detection system, the system has higher detection accuracy and recognition of intrusion behavior ability.

关 键 词：网络安全 入侵检测 神经网络 

分 类 号：TN915.08[电子电信—通信与信息系统]