Neuromonitoring and neuroclassification of crime events in distributed network
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.
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