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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Security Intelligence Framework for Suicide Bombers Identification in a Crowd

Moradeke Grace Adewumi, Olumide Sunday Adewale, Ayodeji Olusegun Akinwumi, Kolawole Thomas Ajisola

http://dx.doi.org/10.6007/IJARBSS/v12-i4/13124

Open access

Terrorism is the aggression unjustly carried out by individuals, groups, or states against human beings. It includes the form of unjustly terrifying, harming, threatening, and killing of people in the target area. In effect, this evil is perpetrated by some groups that believe in the use of such tactics as a means of advancing their cause. These acts are always caused by foreign terrorists whose identities and where about are not always known. Therefore there is need for an individual to identify these terrorists while in a crowd. This will be achieved by developing a security intelligent model for easy identification of a suicide bomber. The research involved document analysis and interview protocol with the security experts within Ondo and Ekiti State, Nigeria to determine the constructs for identifying the suicide bombers. Their responses were documented and audio recorded for transcription purposes. The sample for this phase of the study was obtained from among the senior security personnel until a saturation stage were reached. And the findings from them were analyzed thematically. The questionnaires were developed from the output of the thematic analysis and the result was analyzed using Rasch model which were used to determine the validity of the responses concerning the constructs. The results from the findings will form the model that can guide an individual to identify suicide bombers while in a crowd. It is hoped that the outcome of the study will increase the body of knowledge on security and contribute significantly to safety measures in avoiding suicide bombers’ menace.

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In-Text Citation: (Adewumi et al., 2022)
To Cite this Article: Adewumi, M. G., Adewale, O. S., Akinwumi, A. O., & Ajisola, K. T. (2022). Security Intelligence Framework for Suicide Bombers Identification in a Crowd. International Journal of Academic Research in Business and Social Sciences, 12(4), 697–706.