A Framework for Unified Distributed System for Crime Prevention and Detection Peter E, Ayemholan1, Garba, Suleiman2 and Osaigbovo Timothy3 1Department of ICT, National Defence College, Abuja, Nigeria. 2Computer Science Department, FCT College of Education, Zuba-Abuja, Nigeria. 3ICT Unit, Aduvie International School, Abuja, Nigeria. 3rd Big Data Analytics and Innovation Conference, 22-25 November, NDC, Abuja, Nigeria

Introduction The growth and development of a nation is adjudged largely by her capacity to guaranty the safety of lives and property. The safety of lives and security of property are viewed as basic human rights which are essential to the community’s overall quality of life (Plant and Michael (2009)). Provision of security to citizenry has been a major concern of governments and nations. Some of the notable efforts are the setting up of agencies with the mandate to deal with crime incidents and the deployment of technology for effective crime management. 3rd Big Data Analytics and Innovation Conference, 22-25 November, NDC, Abuja, Nigeria

Problem Statement The rise in crime and the frequency with which they are perpetrated has left the relevant law enforcement agencies with the challenge of proactively responding and preventing crime incidents. Security agencies can not do it alone. Hence, there has been a public outcry on the government to find solutions to this menace of high crime rate. 3rd Big Data Analytics and Innovation Conference, 22-25 November, NDC, Abuja, Nigeria

Aim and Objectives The aim is to develop a framework for the implementation of a unified crime detection and prevention system. While the objectives are to: Develop a unified system, allowing public users to provide tip-off on crime incidents. Implement a distributed architecture for faster data analytics. Warehouse data in multiple datacentres for redundancy. 3rd Big Data Analytics and Innovation Conference, 22-25 November, NDC, Abuja, Nigeria

Methodology Crime Database The proposed method identified four (4) major activities in achieving the research aim Public Interface; Security Agency; Datacenter and Crime Database 3rd Big Data Analytics and Innovation Conference, 22-25 November, NDC, Abuja, Nigeria

Methodology (Continued) Physical components of proposed system 3rd Big Data Analytics and Innovation Conference, 22-25 November, NDC, Abuja, Nigeria

Methodology (Continued) Web server – Database Interaction 3rd Big Data Analytics and Innovation Conference, 22-25 November, NDC, Abuja, Nigeria

Methodology (Continued) Public User Function Provide tip-off and report crime committed Fill online crime data form Upload Video and audio evidence GPS location Use social media platforms to report crime 2. Receive Acknowledgement SMS   Security Agent Function Login to UDSCPD Receive tip-off information on crime. Respond to crime tip-off Share intelligence and crime information with sister security agencies  Data Analytics  Web Server Database A Database B Database C Database D Functional Framework Diagram 3rd Big Data Analytics and Innovation Conference, 22-25 November, NDC, Abuja, Nigeria

RESOURCES AND MANPOWER CAPACITY Software tools: Java and Hadoop for the web and database design. High capacity hardware - routers, storage, server computers . Internet access with high bandwidth Qualified manpower. Adequate and up-to-date training. Adequate incentives for personnel Adequate funding for system development, maintenance and upgrade. Confidentiality for public users. 3rd Big Data Analytics and Innovation Conference, 22-25 November, NDC, Abuja, Nigeria

LIMITATIONS OF THE STUDY Inadequate supply of power. High cost of Internet bandwidth/data for real-time report of crime and prompt response. Not all communities are provided with GSM network coverage. Most public users do not have smart phones to access the mobile application and also give tip-off through social media platforms and GPS. 3rd Big Data Analytics and Innovation Conference, 22-25 November, NDC, Abuja, Nigeria

Conclusion A framework for unified distributed system for crime prevention and detection has been developed. The system is designed to allow tasks to be distributed among participating devices so as to reduce time and increase efficiency. The system offers a public web interface to enable users provide tip-off on crime incidents. The database profiles crime data and notifies concerned security agency about the reported crime incident to enable them take appropriate action. 3rd Big Data Analytics and Innovation Conference, 22-25 November, NDC, Abuja, Nigeria

Conclusion(Cont…) Further research work focuses on: a. Development and implementation of the system. Security of Data. User Access to the system. 3rd Big Data Analytics and Innovation Conference, 22-25 November, NDC, Abuja, Nigeria

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