摘要
网络攻击检测作为一种处理网络威胁的有效方法已被广泛接受。网络攻击检测技术主要有两类,即基于已知数据集的网络攻击检测技术和基于未知攻击的检测技术。其中基于已知数据集的网络攻击检测技术又分为基于统计方法的网络攻击检测和基于机器学习的网络攻击检测。介绍了网络攻击检测的重要性,综述了网络攻击检测技术中数据预处理的过程以及多种网络攻击检测技术,提出了网络攻击检测技术中几个未来研究的方向。
Network attack detection being widely accepted as an effective method against the network threats has two main types,namely the known data set-based technology and the unknown attack detection technology.Of which,the technology based on known data set can be divided into the network attack detection based on statistical methods and that based on machine learning.In this paper,a systematic literature review was used to investigate and study several literatures in the field of network attack detection;and the importance of network attack detection was described and the process of data preprocessing in network attack detection technology was summarized,including various network attack detection technologies;finally,the direction in the research of network attack detection technology was presented.
作者
缪祥华
张如雪
张宣琦
蒲鹳雄
王攀
李响
张家临
MIAO Xiang-hua;ZHANG Ru-xue;ZHANG Xuan-qi;PU Guan-xiong;WANG Pan;LI Xiang;ZHANG Jia-lin(Faculty of Information Engineering and Automation,Kunming University of Science and Technology;Yunnan Key Laboratory of Computer Technology Application,Kunming University of Science and Technology)
出处
《化工自动化及仪表》
CAS
2022年第5期557-562,568,共7页
Control and Instruments in Chemical Industry
关键词
网络攻击检测
统计方法
机器学习
未知攻击
network attack detection
statistical method
machine learning
unknown attack