EXPLORING THE PREVALENCE OF INTERNET CRIMES AMONG UNDERGRADUATE STUDENTS IN A NIGERIAN UNIVERSITY: A CASE STUDY OF THE UNIVERSITY OF ILORIN

Naeem Atanda Balogun; Musbau Dogo Abdulrahaman; Kayode Aka

doi:10.4314/njt.v43i1.10

Authors

N. A. Balogun Department of Information Technology, University of Ilorin, Ilorin, Nigeria. https://orcid.org/0000-0002-2315-8594
M. D. Abdulrahaman Department of Information Technology, University of Ilorin, Ilorin, Nigeria. https://orcid.org/0000-0002-7488-3294
K. Aka Department of Information Technology, University of Ilorin, Ilorin, Nigeria.

DOI:

https://doi.org/10.4314/njt.v43i1.10

Keywords:

Internet crime, Cybercrime, Cybercrime Prevalence, Cybersecurity, Criminology

Abstract

Internet crime, also known as cybercrime, encompasses various illicit activities conducted through computer system and online platforms. It is a global menace that has become a pervasive issue in our contemporary society. This study delves into exploring the prevalence of internet crime among undergraduate students at the University of Ilorin with the view to examine the level of involvement of undergraduate students, identify the underlying factors, the perceived consequences, and potential control measures associated with undergraduates' involvement in internet crime. The study engaged a sample size of 400 undergraduate students, employing a stratified sample technique for comprehensive data collection using a structured questionnaire. The research revealed that the participants acknowledged the prominence of internet crime within their peer group. It uncovered the multifaceted factors contributing to the prevalence of internet crimes. The respondents acknowledged the perceived consequences of undergraduates' involvement in internet crime, encompassing financial mismanagement, expulsion from educational institutions, societal stigma, loss of personal integrity, legal consequences, and limited access to future opportunities. To mitigate this growing concern, respondents recommended various control and combative measures. These encompass the implementation of stringent rules within educational institutions, effective monitoring of students' financial activities, awareness campaigns against internet crime, provision of employment opportunities, engaging experts to address the issue, banning tools facilitating internet crime, and organizing training workshops to enhance legitimate ICT skills and wealth generation. This study sheds light on the pressing need for proactive interventions to curb internet crime among undergraduate students, emphasizing education, awareness, and policy implementation to foster a safer online environment and deter involvement in criminal activities.

References

Chen, S., et al., “Exploring the global geography of cybercrime and its driving forces”, Humanit. Soc. Sci. Commun., vol. 10, no. 1, pp. 71, 2023. doi:10.1057/s41599-023-01560-x.

Garba, J., “An approach to cybercrime issues in Dandume Local Government area of Katsina State, Nigeria”, Niger. J. Technol., vol. 42, no. 2, pp. 249-256, 2023. doi:10.4314/njt.v42i2.13

Stošić, L. V., and Janković, A. V. “Cybercrime in the Republic of Serbia: Prevalence, situation and perspectives”, Kpolisa., vol. 19, no. 4, pp. 82-99, 2022. doi:10.51738/Kpolisa2022.19.4r. 82sj.

Leukfeldt, E. R., and Holt, T. J. “Cybercrime on the menu? Examining cafeteria-style offending among financially motivated cybercriminals”, Comput. Hum. Behav., vol. 126, pp. 1-9, 2022. doi:10.1016/j.chb.2021.10 6979

Breen, C. F. et al., “A large-scale measurement of cybercrime against individuals”, CHI Conference on Human Factors in Computing Systems (CHI ’22), 2022. doi:10.1145/349110 2.3517613.

Gojali, D. S., and Mangkurat, U. L. “Identifyi-ng the Prevalence of Cybercrime in Indonesian Corporations: A Corporate Legislation Perspe-ctive Ten Riskiest Countries in terms of Cybercrime Rate”, Int. J. Cyber Criminol., vol. 17, no. 1, pp. 1-11, 2023. doi:10.5281/zenodo. 4766600.

Nicholson, J., et al., “Prevalence and Trends of Depression among Cyberbullied Prevalence and Trends of Depression among cyber- bullied Adolescents—Youth Risk Behavior Survey, United States, 2011-2019”, Int. J. Cybersecurity Intell. Cybercrime, vol. 6, no. 1, pp. 45-58, 2023.

Ukam, P. I., et al., “How engagement in internet fraud impact academic activities of undergraduate students in Nigeria: A socio-legal study”, Cogent Soc. Sci., vol. 10, no. 1, p. 2280285, 2024. doi:10.1080/23311886.2023.2 280285.

Deora, R. S., and Chudasama, D. “Brief study of cybercrime on an internet”, J. Commun. Eng. Syst., vol. 11, no. 1, pp. 1-6, 2021.

Adewopo, V., et al., “A comprehensive analytical review on cybercrime in West Africa”, arXiv Preprint ArXiv:2402.01649., 2024.

Obajobi, J. J., et al., “Impact of cybercrime on national development: A review on Niger-ia”, Lapai J. Humanit., vol. 13, no. 1, pp. 56-63, 2022.

Dar, S. A., and Nagrath, D. “Are women a soft target for cyber crime in India?”, J. Inf. Technol. Comput., vol. 3, no. 1, pp. 23-31(12), 2022. doi:10.48185/jitc.v3i1.503.

Ismail, U. “The Nigeria police force and cybercrime policing: An appraisal”, Dutse J. Criminol. Sec. Stud., vol. 1, pp. 78-88, 2020.

Hassan, A. O., et al., “Cybersecurity in banking: A global perspective with a focus on Nigerian Practices”, Comput. Sci. It Res. J., vol. 5, no. 1, pp. 41-59, 2024. doi:10.5159 4/csitrj.v5i1.701.

Olasupo, A. “Nigeria ranks 16th in FBI’s global worst affected by internet crimes”, 2021, Available at: https://guardian.ng/news/n igeria-ranks-16th-in-fbis-global-worst-affecte d- by-internet-crimes.

Adesina, A. O., et al., “Investigating data mining trend in cybercrime among youths”, in Pervasive Computing and Social Networking, Lecture Notes in Networks and Systems 475, 2023, pp. 725-741. doi:10.1007/978-981-19-2840-6_55.

Rawindaran, N., Jayal, A., and Prakash, E. “Exploration of the impact of cybersecurity awareness on small and medium enterprises (SMEs) in Wales using intelligent software to combat cybercrime”, Computers, 11(12), 174, 2022.

Curtis, J., and Oxburgh, G. “Understanding cybercrime in ‘real world’policing and law enforcement”, Police J., 2023; vol. 96, no. 4, pp. 573-592.

Loggen, J., et al., “A systematic narrative review of pathways into, desistance from, and risk factors of financial-economic cyber-enabled crime”, Comput. Law Sec. Rev., vol. 52, p. 105858, 2024. doi:10.1016/j.clsr.202 3.105858.

Ugbomah, N., et al., “Cybercrime: Predictive impact on e-commerce in Nigeria,” Sch. J. Soc. Sci. Res., vol. 1, no. 1, pp. 1-14, 2022.

Bernik, I., Prislan, K., and Miheliˇ, A. “Country Life in the Digital Era : Comparison of Technology Use and Cybercrime Victimiz-ation between Residents of Rural and Urban Environments in Slovenia” Sustainability (Switzerland), vol. 14, pp. 1-16, 2022.

Bekkers, L. M. J., et al., “Understanding cybercrime involvement: A quasi-experiment on engagement with money mule recruitment ads on Instagram”, J. Exp. Criminol., pp. 1-20, 2022. doi:10.1007/s112 92-022-09537-7.

Garcia, M. P. S. “On the dynamics behind pro t-driven cybercrime: From contextual factors to perceived group structures, and the workforce at the periphery”, CrimRxiv, pp. 1-26, 2023.

“Statistics How To (n.d)”, Slovin’s Formula: What Is It and When Do I Use It? Available at: https://www.statisticshowto.com/probability-and-statistics/how-to-use-slovins-formula/.

Dudovskiy, J. (N.D.), “Convenience sampling”,. Available at: https://research-methodology.net/sampling-in-primary-data-collection/convenience-sampling/.