Abstract
The chapter dwells on criminological characteristics of economic crime, related to theft in fuel and energy industry. The purpose of the chapter is to analyze collected data, crime dynamics in order to curb new high tech violations in strategically important branches, including, of course, the fuel and energy complex. It is exactly due to the above circumstances that the chapter was written. This research is also based on methods of system analysis and synthesis. The methods of scientific cognition used, such as analysis of statistical data, contributed to better understanding of the social danger of crime against property in fuel and energy industry and to the identification of basic determinants of the crime under review. The result of the work is general theoretical substantiation of using large data technology to fight this type of crime. The application sphere of the work results is not limited to theoretical research and can be used in the practice of law enforcing and judicial bodies. By classification, theft in the fuel and energy complex is rated as economic crime, which can be fought and prevented by applying large data technology, including data, based on coordination between oil transporting companies and law enforcing bodies. Intellectual monitoring of oil products creates conditions for preventing crimes in fuel and energy complex.
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Vasilev, D., Kravets, E., Naumov, Y., Bulgakova, E., Bulgakov, V. (2019). Analysis of the Data Used at Oppugnancy of Crimes in the Oil and Gas Industry. In: Kravets, A. (eds) Big Data-driven World: Legislation Issues and Control Technologies. Studies in Systems, Decision and Control, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-030-01358-5_22
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DOI: https://doi.org/10.1007/978-3-030-01358-5_22
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