Defi-crime: condition, trends and criminological models

E. Sidorenko
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Abstract

Objective: to develop a criminological concept of DeFi-crime and measures to deter it.Methods: dialectical materialism and the general scientific methods of cognition based on it, used in the Russian criminology.Results: a criminological concept of DeFi-crime as a type of digital crime was developed, i.e. a new specific criminological theory of DeFi-crime (DeFi-criminology) within the structure of digital criminology was proposed. The information factors influencing the DeFi-crime state, structure and trends were determined, and measures for its deterrence by criminological and technological means were proposed.Scientific novelty: the presented work is the first and only study conducted within the framework of digital criminology, reflecting the state, trends and structure of DeFi-crime, revealing the main causes that form it, as well as describing options for deterring this type of digital crime by technological and criminological means.Practical significance: the study results can be used in law enforcement activities when assessing potential threats from DeFicrime and developing measures to reduce them; in educational activities – in the process of teaching courses in criminology, cybercriminology, digital criminology; in research activities – when obtaining additional knowledge on certain types of DeFi–crime: DeFi-theft and DeFi-fraud during their further research in DeFi-criminology.
定义犯罪:条件、趋势和犯罪学模型
前言:目的:建立非营利性犯罪的犯罪学概念及预防措施。方法:将辩证唯物主义及其基础上的一般科学认知方法应用于俄罗斯犯罪学。结果:提出了网络犯罪作为一种数字犯罪的犯罪学概念,即在数字犯罪学的框架内提出了一种新的网络犯罪的具体犯罪学理论(网络犯罪学)。分析了影响网络犯罪现状、结构和趋势的信息因素,提出了运用犯罪学和技术手段遏制网络犯罪的措施。科学新颖性:本文是第一个也是唯一一个在数字犯罪学框架内进行的研究,反映了数字金融犯罪的状态、趋势和结构,揭示了形成数字金融犯罪的主要原因,并描述了通过技术和犯罪学手段阻止这种类型的数字犯罪的选择。实际意义:研究结果可用于执法活动,评估“赤字犯罪”的潜在威胁,并制订减少威胁的措施;在教育活动中——在犯罪学、网络犯罪学、数字犯罪学等课程教学过程中;在研究活动中-获得关于某些类型的金融犯罪的额外知识:金融盗窃和金融欺诈,在他们对金融犯罪学的进一步研究中。
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