Defi-crime: condition, trends and criminological models
https://doi.org/10.21202/2782-2923.2023.2.327-341
EDN: UXSEIM
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.
About the Author
E. L. SidorenkoRussian Federation
Elina L. Sidorenko, Doctor of Law, Professor, Director of the Center for digital economy and financial innovations, Professor of the Department of Criminal Law, Criminal Procedure and Criminology
Researcher ID: http://www.researcherid.com/rid/P-9046-2015, AuthorID: 434856
Moscow
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Review
For citations:
Sidorenko E.L. Defi-crime: condition, trends and criminological models. Russian Journal of Economics and Law. 2023;17(2):327-341. (In Russ.) https://doi.org/10.21202/2782-2923.2023.2.327-341. EDN: UXSEIM