摘要
对目前主要的机器学习方法进行了简要介绍和评述,然后描述了四种具体的机器学习方法在入侵检测中的应用,最后结合网络攻击的发展趋势,阐述了入侵检测机器学习方法的发展方向。
Several kinds of current main machine learning methods are generally introduced and reviewed in this paper. And the application of four concrete machine learning methods to intrusion detection is described. Finally, its development way is presented according to the trend of network attack.
出处
《计算机安全》
2010年第3期20-21,24,共3页
Network & Computer Security
关键词
入侵检测
遗传算法
强化学习
向量机
Intrusion Detection
Genetic Algorithm
Reinforcement Learning
Support Vector Machine
