基于网页结构相似性的网络资产识别技术研究  

Research on Network Asset Identification Technology Based on Web Structural Similarity

作　　者：聂大成[1,2] 刘方 徐锐[1,2] 张志勇 张斌[1] 张家亮 NIE Dacheng;LIU Fang;XU Rui;ZHANG Zhiyong;ZHANG Bin;ZHANG Jialiang(No.30 Institute of CETC,Chengdu Sichuan 610041,China;Sichuan Provincial Key Laboratory of Cyberspace Security,Chengdu Sichuan 610041,China)

机构地区：[1]中国电子科技集团公司第三十研究所,四川成都610041 [2]网络空间安全四川省重点实验室,四川成都610041

出　　处：《通信技术》2023年第3期345-350,共6页Communications Technology

基　　金：国家重点研发计划课题(2022YFB3105001)。

摘　　要：当前,随着网络技术的不断发展,网络空间日趋复杂,网络资产种类和数量越来越多,网络空间安全形势严峻。通过网络资产探测可以帮助网络安全人员掌握网络资产状况,发现非法资产接入情况,及时了解隐藏在网络中的安全风险。基于此,分析了当前网络资产探测的现状,提出了一种基于结构特征的网络资产识别技术,从局部特征和全局特征两个方面对网络资产特征进行刻画,并使用最长公共子序列(Longest Common Sequence,LCS)算法计算网络资产结构特征的相似性。最后,通过分析说明了所提方法的优势,并在实际环境中进行了验证。At present,with the continuous development of network technology,cyberspace is becoming more and more complex,while the variety and quantity of network assets are increasing,and the situation of cyberspace security is severe.Network asset detection can help network security personnel grasp the status of network assets,detect illegal asset access,and promptly detect the security risks hidden in the network.For this reason,this paper analyzes the current status of network asset detection and proposes a network asset identification technique based on structural features,which describes network asset features from both local and global aspects and uses the LCS(Longest Common Sequence)algorithm to calculate the similarity of network asset structural features.Finally,the advantages of the proposed method are demonstrated through analysis and verified in a real environment.

关 键 词：网络资产 资产探测 网络空间安全 结构特征 

分 类 号：TP393.0[自动化与计算机技术—计算机应用技术]