International Journal of Advanced Multidisciplinary Research and Studies
Volume 5, Issue 1, 2025
Mathematics of Criminals and Intelligence of Organised Crime
Author(s): Ntogwa N Bundala
Abstract:
This paper addresses the issue of the intelligence analytics model in organized crime detection and prevention. The article describes the intelligence's role in detecting and preventing organized crime. We describe three classes or levels of the informational needs of the criminalist for the detection and prevention of organized crimes: information classes A, B, and C. The information in class A signifies operational information, class B provides information about investigation purposes, and class C provides information about the intelligence's role/purpose. The paper established the generic intelligence analytic detection and prevention strategies, which are desire-based strategy (DBS), which changes the behavior of the individual (e.g. parenting, radicalization, etc.), ability-based strategy (ABS), which aims to limit the criminal power or ability in conducting crime (e.g. Seizing the assets, restrict access of information, use of a password, anti-virus software, etc.), and opportunistic based strategy (OBS) which aims to limit the opportunity of the crime to commit crimes by increases the risk of the commit crime (e.g. Extra police or community patrols, prison sentences, surveillance device, etc.). The paper concludes that the informational need of criminalists is determined by pyramid hierarchal information class A (operational), class B (investigative role), and class C (intelligence roles). Consequently, we recommend information class A for combating crime, class B for detecting crime, and class C for prevention. If the criminalist only wants to combat crimes, he needs only class-A information. If the criminal needs to detect the presence of criminality, use class B, and the criminalist intends to prevent the crime, he needs class C information. The criminal analyst needs the information in the sequence of ABC.
Keywords: Crime Prevention, Intelligence Analytic Model, Information Classes, Criminal Associative Coefficient
Pages: 170-182
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