摘要
随着大数据时代的到来,刑事侦查中收集到的电子数据量越来越大,如何有效地对这些数据进行筛选、分析,成为电子物证工作中的一个难题。通过将数据整合、数据挖掘、云计算、可视化等技术应用到电子物证中,有助于提升对大数据的分析、处理能力,实现从海量数据中快速、有效地挖掘出有价值的信息,从而为刑事案件突破及证据固定提供有力支撑。
With the advent of the era of big data,the amount of electronic data collected in criminal investigation will appear more and more.And how to analyze,choose and filter these electronic data effectively in the inspection of electronic physical evidence is a difficult problem.Through data integration,data mining,cloud computing and visualization techniquesused in electronic physical evidence,the capacity of the large data analysis and processing will bedeveloped and valuable information will be digged out quickly and efficiently from the mass data,and strong supports will be provided for criminal cases breakthrough and evidence fixing.
作者
黄玉萍
刘志军
王宁
HUANG Yu-ping;LIU Zhi-jun;WANG Ning(Hubei University of Police,Wuhan Hubei 430034,China;Hubei Provincial Collaborative Innovation Center for Digital Forensics and Trusted Application,Wuhan Hubei 430035,China)
出处
《科技视界》
2019年第5期170-172,共3页
Science & Technology Vision
基金
2018年度湖北省人文社科重点研究基地湖北警官学院社会治安治理研究中心立项(资助)项目:大数据环境下网络违法犯罪行为侦查及处置研究(2018C013)
大数据环境下电子数据的侦查及法律适用研究(2018B019)
关键词
电子物证
大数据
网络犯罪侦查
Electronic physical evidence
Big data
Cyber crime investigation
