%0 Journal Article
%T 恶意流量识别研究现状、热点及趋势——基于CiteSpace知识图谱的可视化分析<br>Current Status, Hotspots, and Trends in Malicious Traffic Identification Research—Visual Analysis Based on CiteSpace Knowledge Graph
%A 谭桂香
%A 潘一鑫
%A 刘奕君
%A 杨佳杭
%A 庞正武
%J Advances in Applied Mathematics
%P 2392-2398
%@ 2324-8009
%D 2024
%I Hans Publishing
%R 10.12677/aam.2024.135227
%X 随着科技进步，互联网迅猛发展，网络在人类生活中扮演越来越重要的角色，网络空间中的安全问题随之凸显，恶意流量作为网络攻击常用手段，其准确识别是网络安全领域的重要研究方向之一。本文借助CiteSpace软件，对CNKI数据库以恶意流量识别为主题的177篇文献进行分析，绘制发文时间、发文作者、发文机构等知识图谱，研究恶意流量识别研究现状、热点及趋势，为网络流量识别研究和网络安全防护研究提供参考。<br />
With the rapid development of science and technology and the Internet, the network plays an increasingly important role in human life, and the security problems in cyberspace become prominent. As a common means of network attacks, malicious traffic accurate identification is one of the important research directions in the field of network security. This article uses CiteSpace software to analyze 177 literature on malicious traffic identification in the CNKI database, draw a knowledge graph of publication time, author, and institution, and study the current status, hotspots, and trends of malicious traffic identification research. This provides reference for network traffic identification research and network security protection research.
%K 恶意流量，恶意流量识别，CiteSpace<br>Malicious Traffic
%K Malicious Traffic Identification
%K CiteSpace
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=88587