摘要
随着网络犯罪的日益猖獗,网络侦查取证工作对海量数据进行获取、分析的技术遇到空前挑战,如何从海量数据中提取与犯罪事实相关的数据作为电子证据是当前急需关注的问题。文章旨在研究与网络犯罪案件相关的"隐性知识"显性化的方法,提出本领域基于隐性知识的数据挖掘智能分析过程,为打击网络犯罪的侦查取证工作提供新的技术思路与方法。
As the network crime is rampant ,the investigation work on network forensics faces unprecedented challenges when it obtain and analyze vast amounts of data .How to pick up data which related to criminal facts from huge amounts of data is an urgent need. The purpose of this paper is to put tacit knowledge which related to network crimes to explicit knowledge, and to put forward the analysis process of mining data based on tacit knowledge, providing a new technical idea and method for the work of cybercrime investigation.
出处
《信息网络安全》
2013年第10期200-202,共3页
Netinfo Security
关键词
隐性知识
网络犯罪
刑事侦查
数据分析
tacit knowledge
network crime
criminal investigation
data analysis
