Keywords:
Electronic data forensics; Telecom network fraud; Investigation forensics; Data governance; Crossborder collaboration
电子数据取证;电信网络诈骗;侦查取证;数据治理;跨境协作
Abstract:
Under the background of the digital transformation of the deep empowerment of digital intelligence technology, the crime of telecom network fraud presents the characteristics of ecological reconstruction, which is manifested in the monopoly of fraud groups, the maturity of the whole chain of the black ash industry chain, the compound of behavior patterns, the prominence of cross-platform and cross-domain characteristics, and the intelligentization of technical means, which seriously erodes the social trust mechanism and triggers systemic legal risks. Based on the dual perspectives of crime ecological evolution and governance technology iteration, this study systematically demonstrates the key effectiveness of electronic data forensics in case investigation and analyzes the triple practical constraints faced in its application through literature research, case deconstruction and comparative analysis, including the fragmentation of forensics regulation system, the technical adaptation dilemma caused by massive data and the obstruction of forensics cooperation mechanism. At the same time, in view of the above problems, combined with the global electronic forensics governance experience and the needs of China’s judicial practice, a targeted optimization path is proposed: First, establish a “clear, systematic, and detailed” electronic forensics system; Second, innovate the electronic forensics mode of “scientific sampling + technology empowerment”; Third, establish a three-dimensional collaboration network of “data interoperability and multiple collaboration”.
在数智技术深度赋能的数字化转型背景下,电信网络诈骗犯罪呈现生态化重构特征,具体表现为诈骗集团垄断化、黑灰产业链全链条成熟化、行为模式复合化、跨平台跨域特征显著化以及技术手段智能化等新态势,严重侵蚀社会信任机制并引发系统性法治风险。本研究基于犯罪生态演化与治理技术迭代的双重视角,通过文献研究、案例解构及比较分析等方法,系统论证电子数据取证在案件侦查中的关键效能,并剖析其应用中面临的三重现实掣肘:一是取证规制体系碎片化;二是海量数据引发的技术适配困境;三是取证协作机制梗阻。同时,针对上述问题,结合全球电子取证治理经验与我国司法实践需求,提出针对性优化路径:其一,建立“明确化、体系化、明细化”的电子取证制度;其二,创新“科学抽样+技术赋能”的电子取证模式;其三,建立“数据互通、多元协同”的立体化协作网络。