Fraud mitigation in attendance monitoring systems using dynamic QR code, geofencing and IMEI technologies

Nwabuwe, Augustine, Sanghera, Baljinder, Alade, Temitope and Olajide, Funminiyi (2023) Fraud mitigation in attendance monitoring systems using dynamic QR code, geofencing and IMEI technologies. International Journal of Advanced Computer Science and Applications, 14 (4). pp. 938-945. ISSN 2158-107X

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Abstract

Attendance monitoring is a vital activity in several organizations. Due to its importance, many attendance monitoring systems have been developed to automate this process. Despite several advancements in automated attendance management solutions, attendance fraud remains an issue as some end users can manipulate known vulnerabilities, such as proxy attendance, buddy-punching, early departure, and so on. In this paper, a fraud-resistant attendance management solution is developed by harnessing technologies such as geofencing, dynamic QR code and IMEI Checking. The proposed solution is comprised of a single-page web application where QR code can be enabled for attendance registration, and a mobile application, where endusers can scan generated QR code to register their attendance. Attendance cheating via QR code sharing is prevented by encoding the polygonal coordinates of the event venue in the QR code to determine if the user is within the venue. The proposed system solves the problem of proxy attendance by registering and verifying the end user’s device IMEI number. Results obtained from testing indicate that attempts at committing a variety of attendance frauds are effectively mitigated.

Item Type: Article
Uncontrolled Keywords: attendance management systems,dynamic qr code,fraud prevention,geofencing,imei verification,mobile application,software algorithms,computer science(all) ,/dk/atira/pure/subjectarea/asjc/1700
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Data Science and AI
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 22 Nov 2023 04:39
Last Modified: 10 Dec 2024 01:43
URI: https://ueaeprints.uea.ac.uk/id/eprint/93712
DOI: 10.14569/IJACSA.2023.01404104

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