A Model of a Collaborative Crime Handling for Law Enforcement Agencies
C. H. Ugwuishiwu,
C. N. Asogwa,
M. C. Okoronkwo,
U. Orji,
N. E. Ogbene,
E. C. Ugwuagbo and
B. O. Ugwuishiwu
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C. H. Ugwuishiwu: Department of Computer Science, University of Nigeria, Nsukka, Enugu State, Nigeria
C. N. Asogwa: Department of Computer Science, University of Nigeria, Nsukka, Enugu State, Nigeria
M. C. Okoronkwo: Department of Computer Science, University of Nigeria, Nsukka, Enugu State, Nigeria
U. Orji: Department of Computer Science, University of Nigeria, Nsukka, Enugu State, Nigeria
N. E. Ogbene: Department of Computer Science, University of Nigeria, Nsukka, Enugu State, Nigeria
E. C. Ugwuagbo: Centre for Space Transport and Propulsion, (CSTP), Epe, 1 LASU Epe drive, Lagos, 106101, Nigeria
B. O. Ugwuishiwu: Department of Agricultural and Bioresources Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria
International Journal of Research and Scientific Innovation, 2025, vol. 12, issue 3, 1116-1125
Abstract:
Crime as a threat to any nation affects development and reduces quality of life. Security agencies are threatened with challenges that negatively impact their crime fighting capabilities especially in the developing nations. This paper presents a real-time collaborative crime handling model to assist LEAs on crime management. The quantitative method was adopted and a hybrid database architecture was used to design the model for the Police, Custom services and NDLEA in Nigeria. These agencies were integrated with a middleware application developed. A mobile phone emulator was developed for crime reporting. Data exchange was achieved using HTTP and XML web services. Object oriented method was adopted in the analysis and design of the proposed system. AJAX, CSS, PHP, Web2.0 HTML5, and JavaScript, were programming tools, one-time-password as second level user authentication and biometric for criminal’s authentication. The system demonstrated how collaboration will enhance the law enforcement agencies’ productivity and improves public safety.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:bjc:journl:v:12:y:2025:i:3:p:1116-1125
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