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Forensic Support for Identifying Threats of Attack on Objects of the Fuel and Energy Complex Using Automated Unmanned Systems

https://doi.org/10.17803/1729-5920.2025.221.4.063-079

Abstract

In armed conflicts, energy systems of all countries of the world are increasingly exposed not only to cyber attacks, but also to external physical attacks, including attacks with the use of advanced technologies (for example, unmanned aerial vehicles). Since the national security of the country depends on the functioning of such systems, the issues of timely suppression of such attacks and identification of persons carrying them out are updated. An important role in this process is given to forensic means, techniques and methods of investigating crimes. In this regard, the paper determines problematic aspects related to characteristics of the objects of the energy complex, technologies of their functioning, types of unmanned vehicles and their design features, as well as modern technical and personnel capabilities of law enforcement agencies to ensure the process of detection, recording and seizure of trace information. At the level of law enforcement agencies, forensic science should exercise its security function in terms of improving technical, tactical and methodological developments in the field of investigating acts of illegal interference in the activities of energy sector facilities. Currently, there is an urgent need to address issues related to the technical equipment of investigative agencies in order to ensure the effective detection and collection of complete trace and evidentiary information.

About the Author

S. L. Kislenko
Kutafin Moscow State Law University (MSAL)
Russian Federation

Sergey L. Kislenko, Dr. Sci. (Law), Associate Professor, Department of Criminology

Moscow



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Review

For citations:


Kislenko S.L. Forensic Support for Identifying Threats of Attack on Objects of the Fuel and Energy Complex Using Automated Unmanned Systems. Lex Russica. 2025;78(4):63-79. (In Russ.) https://doi.org/10.17803/1729-5920.2025.221.4.063-079

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ISSN 1729-5920 (Print)
ISSN 2686-7869 (Online)