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.
Guler, A., & Demir, M. (2021). A global comparison of suicide and non-suicide terrorism. Journal of Policing Intelligence and Conter Terrorom.
Cotta, C. (2019). Metaheuristic approaches to the placement of suicide bomber detectors Metaheuristic Approaches to the Placement of Suicide Bomber Detectors. May 2018. https://doi.org/10.1007/s10732-017-9335-z
Ezeah, E. C. I. P. C. (2015). Boko haram insurgency in Nigeria: A public perception approach. Mgbakoigba, Journal of African Studies. Vol.5 No.1.
Gautami, A., & Balaji, G. N. (2019). A Homogenous Prototype Design for IED Detection Using Subsurface Ground- A Homogenous Prototype Design for IED Detection Using Subsurface Ground-Penetrating RADAR (Issue January). Springer International Publishing. https://doi.org/10.1007/978-3-030-00665-5
Glackin, J. M. E., Gillanders, R. N., Eriksson, F., Fjällgren, M., Engblom, J., Mohammed, S., Samuel, D. W., & Turnbull, G. A. (2020). Explosives detection by swabbing for improvised explosive devices. 17. https://doi.org/10.1039/d0an01312a
Gürkan, S., & Karap?nar, M. (2019). applied sciences Detection and Imaging of Underground Objects for Distinguishing Explosives by Using a Fluxgate Sensor Array. 1–18. https://doi.org/10.3390/app9245415
Kingdom, U., Nnamdi, A. C., Assembly, N., Sebastine, A. I., Junior, E. O., Kingdom, U., & Anyanwu, K. (2015). Boko-haram crisis and implications for development in the northern Nigeria. III(4), 1–12.
Nalajala, P., Kumar, D. H., Harshavardhan, V., & Madhavi, G. (2016). Intelligent Detection of Explosives using Wireless Sensor Network and Internet of Things ( IOT ). 9(42), 391–397.
Okoli, B., & Chukwuma, A. (2014). Terrorism and Humanitarian Crisis in Nigeria?: 14(1).
Oluwasanmi, B. (2016). FLASHBACK: How parcel bomb killed Dele Giwa, ‘the flaming journalist who gave tyrants nightmares’.
Peth?-Kiss, K. (2020). Countering Terrorist Acts against Christian Places of Worship. 14(3), 74–86.
Samberg, A., Stetsiuk, Y., Divizinyuk, M. M., Kovalchuk, V., Matukhno, V., Maslyukivska, O., & Honcharenko, Y. (2020). lightweight cone for explosive operating environment. September. https://doi.org/10.1117/12.2574809
Umar, H. (2015). 30 killed at crowded Nigerian mosque by 2 young female suicide bombers. News.
Vanimireddy, A., & Kumari, D. A. (2012). Detection of Explosives Using Wireless Sensor Networks. 3, 277–280.
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), 658–666.
Copyright: © 2022 The Author(s)
Published by Knowledge Words Publications (www.kwpublications.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode
