面向视频监控网络的安全评估指标体系研究  

Research on Security Evaluation Index System for Video Monitoring Network

作　　者：高见[1,2] 王凯悦 黄淑华 GAO Jian;WANG Kaiyue;HUANG Shuhua(School of Information and Network Security,People’s Public Security University of China,Beijing 102600,China;Safety Precaution Laboratory of Ministry of Public Security,Beijing 102600,China)

机构地区：[1]中国人民公安大学信息网络安全学院,北京102600 [2]公安部安全防范重点实验室,北京102600

出　　处：《信息网络安全》2021年第12期78-85,共8页Netinfo Security

基　　金：中国人民公安大学中央基本科研业务费项目[2021JKF2062];中国人民公安大学新型犯罪专题研究[2021XXFZ012];公安部科技强警基础工作2020专项[2020GABJC01]。

摘　　要：视频监控网络对维护国家安全具有重要作用,目前针对视频网络的攻击手段越来越多。通过研究面向视频监控网络的安全评估指标体系和评估模型,文章提出将传统的面向系统、设备的安全评估转变为基于能力验证的评估方法,并将视频监控网络细分为接入感知能力、内外联感知能力、威胁阻断能力、数据加密能力、攻击免疫能力等五大能力,面向每个能力指标各提出了相应的采集指标。利用层次分析法确定了各评估指标的权重,并量化各评估指标,将模型应用在2018年两个城市的视频监控网络中,量化得分可以直观、科学地反应视频监控网络的网络安全状态。Video monitoring network plays an important role in maintaining national security. At present, there are more attacks against video network. By studying the security evaluation index system and evaluation model for video monitoring network, this paper proposed to transform the traditional system oriented and equipment oriented security evaluation into the evaluation method based on capability verification, and subdivided the video monitoring network into five capabilities—access sensing, internal and external sensing, threat blocking, data encryption and attack immunity. The corresponding collection indexes of each capability index were put forward. Using AHP to determine the weight of each evaluation index, and quantify each evaluation index. Finally, this model is applied to the inspection results of video monitoring network in two cities in 2018. The quantitative score can reflect the network security state of video monitoring network intuitively and scientifically.

关 键 词：评估指标 视频监控 能力验证 渗透测试 层次分析法 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]