Neuromonitoring and neuroclassification of crime events in distributed network

Keywords: crime, criminogenic event, monitoring, system analysis, law-enforcement practice, classification, neurosystem.

Abstract

Systemic analysis of criminal events and situations in some distributed network is a pressing problem not only of law enforcement structures, but also of the authorities, the whole society. In the investigation of each the crime requires speed, as well as completeness, accuracy and low uncertainty of the event. Effective investigation requires the involvement of IT procedures based not only on criminology, but also on psychology, mathematics, system analysis, computer science and other fields of knowledge. Only in this way can we analyze the goals, situations and tasks, develop and take decisions to counter crime not only in Vietnam, but also in many countries, including Russia. It's important to have not only methodology, but also technology, methods and tools. The work separately explores the monitoring tools of crime events. A systematic analysis of the problem has been carried out, on the basis of which methods of transition from traditional monitoring of a specific (problem-oriented) criminal situation to intellectual, systemic monitoring of the entire criminal environment have been proposed. Criminological identification of an event is a complex and multidimensional problem. The system analysis carried out will make it possible to formulate assessment measures, for example, based on neural systems. Procedures of neuro-classification and neuro-clustering of crime events, including mathematical and neural, as well as evaluation of efficiency of the conducted criminal policy are proposed. Methods of system analysis have been used - analysis-synthesis, decomposition, aggregation, identification, classification and monitoring, as well as mathematical and neural network modeling. This will improve the quality of crime analysis, both theoretically (modelling) and application (forecasting of counter-crime results). It's noted that multilevel and fragmented monitoring system does not contribute to operational law enforcement practice, IT-oriented monitoring is proposed.

Downloads

Download data is not yet available.

Author Biography

Le Trung Kien, People’s of police academy, Hanoi, Vietnam.

PhD in Law, Deputy Head of the postgraduate department, People’s of police academy, Hanoi, Vietnam.

References

Aminov, D.I. (2012) On the Role of Monitoring in the Implementation of Modern Criminal Policy//Journal of the Moscow University of the Ministry of Internal Affairs of the Russian Federation. Right. No. 11, pp. 46-47.

Babkin, A.V., Burkaltseva, D.D., Betskov, A.V., Kilyaskhanov, H.S., Tyulin, A.S., Kurianova, I.V. (2018). Automation Digitalization Blockchain: Trends and Implementation Problems // International Journal of Engineering and Technology, 7(3.14). - pp. 254-260.

Besudnov, I.V., Lande, D.V., Snarsky, A.A. (2009) Internetics. Navigation in complex systems: models and algorithms. -M.: Libron. -264 p.

Borzov S.M., Pototurkin O.I. (2018) Spectral-spatial methods of classification of hyperspectration images (overview) // Autometry, vol. 54, № 6, pp.64-86.

Chan, J., Moses L.B. (2017) Making Sense of Big Data for Security // British J. of Criminology. Vol.57, iss.2. – pp.299–319.

Cochegurov, E.A., Martynova Yu. A (2020) Aspects of continuous user identification based on free texts and hidden monitoring // Programming and Computer Software, Vol. 46, No. 1, pp. 12-24.

Gluhova, L.V., Kaziev, V.M., Kazieva, B.V. (2018). System rules of financial control and management of innovative business processes of the enterprise. // Journal of the Volga State University named after V.N. Tatischev, vol.2. No.1. -pp.118-126.

Kalafati, Y.D., Moiseyev K.V., Starkov S.O., Shushkova S.A. (2008) Technology of Storage and Processing of Electronic Documents with Intellectual Search Properties // International J. Information Theories and Appl. (IJITA), Vol.15, 184.

Kaziev, V.M. (2007) Introduction to analysis, synthesis and modeling of systems. Binom. Laboratory of knowledge. Intuit. – 244 p.

Kovandzic, T., Shaffer, M.E, Vieraitis, L.M., Orrick, E.A., Piquero, A.R. (2016). Police, Crime and the problem of weak instruments: Revisiting the «More police, less crime» Thesis // J. of Quantitative Criminology. Vol.32, iss.1. –pp.133–158.

Luneev, V.V. (2005) Crime of the 20th century: world, regional and Russian trends. 2nd ed. -M: Volters Cluver. - 912 p.

Maksimov, S.V., Vasin, Y.G., Valukov, N.V., Utarov, K.A. (2019) Digitalization of criminal policy as a tool to overcome its asistemicity // Russian J. of Criminology, vol.13, No. 3, pp.395-407.

Maksimov, S.V., Utarov K.A. (2018) Criminal policy in the field of competition protection: goals and opportunities / Under ed. V.P. Zavarukhina. -M.: IPRAN RAS. -80 p.

Nazarov, D.M., Konysheva, L.K. (2019) Intellectual systems: foundations of fuzzy set theory (tutorial, 3rd ed.). -M.: Jurite. -186 p.

Uschold, M., King, M., Moralee, S. & Zorgios, Y (1997). The Enterprise Ontology AIAI Edinburgh: The University of Edinburgh. –p. 208.

Vasin, Y.G. (2018) Criminal Policy and Combating Organized Crime: Some Possibilities for Improvement // Education and Law. No. 3. -pp.11-21.

Valuiskov, N.V., Bondarenko, L.V., Arutyunyan A.D (2017). Juvenile Crime: Current State and Dynamics // Journal of Рolitics and Law. Vol.10, iss.4. –pp.225–232

Volodina, N.V., Zaluzhy, A.G., Tarasova, D.M. (2019) The systematic approach to modern political and legal systems of states on countering international extremism // Amazonia Investiga, vol.8, N20. –pp.98-103. Retrived from: http://www.amazoniainvestiga.info/index.php/amazonia/article/view/68

Williams, M.L., Burnap, P. (2016) Cyberhate on Social Media in the Aftermath of Woolwich: a Case Study in Computational Criminology and Big Data // British J. of Criminology. Vol.56, iss.2. – pp.211–238.

Williams, M.L., Burnap, P., Sloan, L. (2017) Crime Sensing With Big Data: The Affordances and Limitations of Using Open-source Communications to Estimate Crime Patterns // The British J. of Criminology. Vol.57, iss.2. – pp.320–340.
Published
2020-05-18
How to Cite
Trung Kien, L. (2020). Neuromonitoring and neuroclassification of crime events in distributed network. Amazonia Investiga, 9(29), 489-495. https://doi.org/10.34069/AI/2020.29.05.54
Section
Articles