摘要
擅自发行股票、公司、企业债券犯罪不仅侵犯公民公私财产所有权,而且严重危害国家正常的股票、公司、企业债券发行秩序。大数据时代下,该类犯罪逐渐呈现从传统走向智能、犯罪时空多维度、通过网络实施、缺少犯罪现场、信息线索多以数据虚拟形式存在等特点,使得传统侦查手段捉荆见肘。为了降低侦查成本,提升侦查效益,需要结合使用传统侦查手段和大数据技术手段,以期更有效地打击该类犯罪。
Unauthorized stock issue, company, and enterprise bond crime are not infringing the public and private property ownership right but also severely impairing the order of the normal practice of issuing stocks, eompany and enterprise bond. At the age of big data, this type of crime tends to have the characters of smartness, multi-dimension of time and space, employing internet, lack crime scene, and digital information clues, which makes traditional investing methods inadequate. To reduce the cost of investigation and promote efficiency, traditional investigation method should be combined with big data technology to strike against the crime.
作者
王贤德
安凯
WANG Xian-de;AN Kai(Chinese People's Public Security University,Beijing 100038,China)
出处
《哈尔滨学院学报》
2018年第8期45-48,共4页
Journal of Harbin University
基金
2018年中国人民公安大学研究生实践教学基地调研项目
项目编号:2018SJJX008
关键词
擅自发行股票、公司、企业债券罪
侦查
取证
unauthorized stock issue
company enterprise bond crime
investigation
evidence taking