CRIMINALISTIC FORECASTING REMOTE FRAUD
Journal: BULLETIN OF THE KALININGRAD BRANCH OF THE SAINT-PETERSBURG UNIVERSITY OF THE MINISTRY OF INTERNAL AFFAIRS OF RUSSIA
№ 4
, 2025
Rubrics: CRIMINALISTICS RESEARCHES
Authors:
Type:
Article
Pages:
from
to
Status:
Published
Received:
26.11.2024
Accepted:
27.11.2024
Published:
09.01.2025
Language:
Russian
Keywords:
Cybercrime, remote fraud, deepfake, forecast, forecast background, method of committing a crime
Abstract (English):
Introduction. Currently, cybercrime in general and cyberbullying in particular are recognized as a national problem. The number of these crimes is growing from year to year, the damage from them amounts to billions of rubles, and all categories of citizens are becoming victims: from minors to pensioners. The emergence and development of artificial intelligence technologies have given attackers new opportunities to commit criminal acts. Understanding trends in the development of cybercrime will allow us to develop strategies to combat it and assess the effectiveness of measures taken today. Methods. The work used the dialectical method necessary for a complete and comprehensive study of phenomena, connections and contradictions between them, as well as description, logical methods (analysis and synthesis, induction and deduction), statistical method, methods of forensic forecasting. Results. Based on the study of scientific literature on the subject of the study, the author formulated the concept of forensic forecasting as a scientifically based prediction of changes in the nature of crimes, methods of their commission, as well as possible directions for further development of methods and techniques of combating crime, technical and forensic tools used in the investigation of crimes, and forensic science in general. Guided by this definition, the author examines the history of the development of cybercrime in Russia, identifies the causes and conditions contributing to its growth, and makes a forensic forecast of the situation in the future. Trends in remote fraud have been identified, and possible ways of changing fraudulent schemes have been outlined. All this is necessary to develop an effective system of preventive measures that will make the prevention of such crimes more effective.
Introduction. Currently, cybercrime in general and cyberbullying in particular are recognized as a national problem. The number of these crimes is growing from year to year, the damage from them amounts to billions of rubles, and all categories of citizens are becoming victims: from minors to pensioners. The emergence and development of artificial intelligence technologies have given attackers new opportunities to commit criminal acts. Understanding trends in the development of cybercrime will allow us to develop strategies to combat it and assess the effectiveness of measures taken today. Methods. The work used the dialectical method necessary for a complete and comprehensive study of phenomena, connections and contradictions between them, as well as description, logical methods (analysis and synthesis, induction and deduction), statistical method, methods of forensic forecasting. Results. Based on the study of scientific literature on the subject of the study, the author formulated the concept of forensic forecasting as a scientifically based prediction of changes in the nature of crimes, methods of their commission, as well as possible directions for further development of methods and techniques of combating crime, technical and forensic tools used in the investigation of crimes, and forensic science in general. Guided by this definition, the author examines the history of the development of cybercrime in Russia, identifies the causes and conditions contributing to its growth, and makes a forensic forecast of the situation in the future. Trends in remote fraud have been identified, and possible ways of changing fraudulent schemes have been outlined. All this is necessary to develop an effective system of preventive measures that will make the prevention of such crimes more effective.
Keywords:
Cybercrime, remote fraud, deepfake, forecast, forecast background, method of committing a crime
Cybercrime, remote fraud, deepfake, forecast, forecast background, method of committing a crime
