应用于入侵检测的机器学习现状与发展分析

Status and Development Analysis of Machine Learning Applied to Intrusion Detection

近年来随着机器学习技术的发展,将其应用于入侵检测领域的研究不断涌现,以应对日趋庞大的数据和复杂多变的攻击种类。该文基于机器学习对入侵检测领域内最新文献的研究,从分类算法、检测效果和验证结果等方面概述了其研究进展,分析了其应用于网络安全目前存在的几点问题,并指出了该技术后续的发展趋势和应用趋势,以期为网络安全的发展提供一些新思路。

With the development of machine learning technology in recent years,it has been applied to the field of intrusion detection to cope with increasingly large data and complex and changeable types of attacks.Based on the research of the latest literature in the field of intrusion detection by machine learning,this paper summarizes its research progress in classification algorithm,detection effect and verification results,analyzes some problems existing in its application to network security,and points out the development trend and application trend of this technology in the future,in order to provide some new ideas for development of network security.