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http://ir.futminna.edu.ng:8080/jspui/handle/123456789/11647
Title: | Biometry, Encryption and Spyware (BES): A Multi-factor Security and Authentication Mechanism for JAMB E-Examination |
Authors: | Amadi, Rapheal Sunday Ismaila, Idris Zubair, Hussain Abubakar Oluyemi, Stella Etuk Mohammed, Idris Kolo |
Keywords: | Electronic examination spyware biometric security encryption JAMB |
Issue Date: | Aug-2020 |
Publisher: | International Journal of Applied Information Systems (IJAIS) |
Series/Report no.: | 12;32 |
Abstract: | Electronic examination is the innovation of assessing students electronically. In recent times, it has gain popularity and acceptance. The gradual acceptance and popularity of electronic examination was underscored by its benefits. However, e-examination security has been considered a major challenge in e-learning, in which malpractices-free e-examination seems elusive. Collusion, online assistance, surfing the Internet and remote sharing of desktop are security threat to the current JAMB’s e-examination. This paper proposes an e-exam system using a multi-factor security and authentication mechanism. Biometry, Encryption and Spyware (BES) are adopted to enhance security and authentication of JAMB’s electronic examination. Biometrics are used for authentication, Encryption for the security of the data and the databases and Spyware for e-monitoring. The proposed system addresses the security and authentication lapses of the existing JAMB’s online examination. Evaluation of the system was performed in term of impersonation, accessing the Internet or remote sharing of desktop to assess the security and authentication effectiveness of the proposed system. The evaluation shows a promising results towards addressing authentication and security issues in the JAMB’s online e-exam. |
URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/11647 |
ISSN: | 2249-0868 |
Appears in Collections: | Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
IJAIS_BES_9.pdf | Multifactor security | 1.29 MB | Adobe PDF | View/Open |
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