大数据环境下打击电信网络诈骗犯罪研究

Research on Combating Telecom Network Fraud under the Big Data Environment

电信网络诈骗犯罪适应大数据时代发展,具有诈骗手段高科技性、诈骗方式多样性、诈骗行为隐蔽性及诈骗犯罪团伙化、产业化、链条化的特点,是该类案件高发的重要原因。同时,公安机关打击电信网络诈骗存在诸多困难,包括技术困难、取证困难、抓捕困难、犯罪认定困难以及财力警力不足等问题,影响打击力度。加强源头治理,创新打击思路,加大法律惩戒力度,加强队伍建设,深入百姓反诈宣传,通过打防管控组合拳,有效遏制电信网络诈骗案件发生。

Telecom network fraud crime adapts to the development of the era of big data, with the characteristics of high-tech technology, diversity of fraud methods, concealment and gang,industrialization and chain of fraud crimes, which is an important reason for the high incidence of such cases. At the same time, there are many difficulties for the public security organs in cracking down on telecom and network fraud crimes, including technical difficulties, evidence collection difficulties, arrest difficulties, crime identification difficulties and insufficient financial resources and police force problems,which affect the intensity of the crackdown. It’s crucial to strengthen the source management, innovate the crackdown ideas, increase the legal punishment, strengthen the team building, in-depth people anti-fraud propaganda, through the combination of prevention and control, effectively curb the occurrence of telecom and network fraud cases.