摘要
提出浏览器隐私模式下犯罪活动信息实时获取方法.通过拟合犯罪活动信息状态统计特征量建立浏览器隐私模式下犯罪活动信息采集模型,构建犯罪活动信息安全监测的统计分析模型,通过特征分布式聚类方法获取犯罪活动信息.仿真结果表明,采用该方法进行犯罪活动信息获取的精度较高,对犯罪活动信息的轨迹跟踪和取证能力较强.
This paper proposes a real-time access method of criminal activity information in browser privacy mode.By fitting the statistical characteristic quantity of criminal activity information state,the criminal activity information collection model under Browser privacy mode is established,the statistical analysis model of criminal activity information security monitoring is constructed,and the criminal activity information is obtained by feature distributed clustering method.The simulation results show that the accuracy of the method is high,and the track tracking and evidence collection ability of the criminal activity information are strong.
作者
王彩玲
WANG Cailing(Network Security Department of Henan police college,Zhengzhou 450046,China)
出处
《牡丹江师范学院学报（自然科学版）》
2021年第1期21-24,共4页
Journal of Mudanjiang Normal University：Natural Sciences Edition
基金
河南省科技厅科技攻关项目(162102210109)
河南警察学院院级项目(HNJY-2019-44)。
关键词
浏览器
隐私模式
犯罪活动
信息获取
browser
privacy model
criminal activities
information acquisition
