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Sheng, S., Holbrook, M., Kumaraguru, P., Cranor, L.F., and Downs, J., “Who Falls for Phish? A Demographic Analysis of Phishing Susceptibility and Effectiveness of Interventions”, In the Proceedings of CHI '10, SIGCHI Conference on Human Factors in Computing Systems, 2010, pp. 373-382.

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Article

Mitigating Social Engineering Menace in Nigerian Universities

1Department of Mathematics/Computer Science, Federal University of Petroleum Resources Effurun, Nigeria


Journal of Computer Sciences and Applications. 2018, Vol. 6 No. 2, 64-68
DOI: 10.12691/jcsa-6-2-2
Copyright © 2018 Science and Education Publishing

Cite this paper:
A.A. Ojugo, O. Otakore. Mitigating Social Engineering Menace in Nigerian Universities. Journal of Computer Sciences and Applications. 2018; 6(2):64-68. doi: 10.12691/jcsa-6-2-2.

Correspondence to: O.  Otakore, Department of Mathematics/Computer Science, Federal University of Petroleum Resources Effurun, Nigeria. Email: ojugo.arnold@fupre.edu.ng, kekeje.debby@fupre.edu.ng

Abstract

Advances in technology continues to facilitate data processing activities; and plays a critical role to serve users’ social needs. The advent of smartphones has further eased the adoption and caused a spike in the usage of these technologies as well as the deployment of Internet-based applications. Our study examines known social engineering attack techniques on users by focusing on comparison as used by intruders. Data is collected from some selected Nigerian undergraduates. Result of the conducted survey suggests that phishing method hits a higher success rate than other techniques; while other factors such as gender, also had an impact on the success rate of each technique used.

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