EmpAMPS: A Secure Biometrics Framework for Mitigating the Menace of Ghost Workers in Developing Economies

Research Article
Open access

EmpAMPS: A Secure Biometrics Framework for Mitigating the Menace of Ghost Workers in Developing Economies

Ojonukpe Sylvester Egwuche 1 , Arome Junior Gabriel 2
  • 1 Computer Science Department, Federal Polytechnic, Ile-Oluji, Nigeria    
  • 2 School of Computing, Federal University of Technology, Akure, Nigeria.    
  • *corresponding author
Published on 22 March 2023 | https://doi.org/10.54254/2755-2721/2/20220669
ACE Vol.2
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-915371-19-5
ISBN (Online): 978-1-915371-20-1

Abstract

Strong inclinations towards controlling and monitoring employees are becoming a more prevalent feature of working life. The success of any organization is directly proportional to the contributions of the workers either from executive level or operational level. The objective of managing workers attendance in working place is to improve profits and to minimize costs. Biometric authentication is an exciting technical improvement in recent times over other methods of human. A secure Employees’ Attendance Management framework (Em-pAMS) with remote monitoring that curtails the influx of ghost workers in public civil service integrated with a web-based, real-time monitoring tool that allows people in management positions to see when their employees check in and out, for informed decision-making during performance appraisal that avoids buddy-punching is presented. One major strength of the proposed system is that it provides a data security structure for ensuring the security of biometric templates (the fingerprints acquired from workers during the enrolment phase.

Keywords:

fraud, human resource management., employee monitoring, Data Security, biometrics

Egwuche,O.S.;Gabriel,A.J. (2023). EmpAMPS: A Secure Biometrics Framework for Mitigating the Menace of Ghost Workers in Developing Economies. Applied and Computational Engineering,2,1044-1051.
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References

[1]. Indico M. H. (2016). Development of Employee Attendance and Payroll System using Fingerprint Biometrics. Journal of Computer Science and Software Development. Volume 1, Issue 1.

[2]. Li T., Wu H., Wu T., (2012). The study of Biometrics Technology Applied in Attendance Management System. Conference Publishing Services, IEEE.

[3]. Eze P. U., Joe-Uzuegbu C. K. A, Laz U., Opara F.K. (2013). Biometric-based Attendance System with Remote Real-time Monitoring for Tertiary Institutions in Developing Countries. IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON). Pp 1-8.

[4]. Chiwa M. D. (2014). Secured Employee Attendance Management System Using Fingerprint. IOSR Journal of Computer Engineering (IOSR-JCE) Volume 16, Issue 1, PP 32-37.

[5]. Oloyede M. O., Adedoyin A. O., (2013). Fingerprint Biometric Authentication for Enhancing Staff Attendance System. International Journal of Applied Information Systems (IJAIS) – ISSN: 2249-0868 Foundation of Computer Science FCS, New York, USA Volume 5– No.3,.

[6]. Ikuomola A. J. (2015) Fingerprint-Based Authentication System for Time and Attendance Management. SCIENCEDOMAIN international. British Journal of Mathematics & Computer Science 5(6): 735-747.

[7]. Shakil M. and Rabindra N. N. (2013). Attendance Management System for Industrial Worker using Finger Print Scanner. Global Journal of Computer Science and Technology Graphics & Vision Volume 13 Issue 6 Version 1.0 Year 2013 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 0975-4172 & Print ISSN: 0975-4350.

[8]. Adetiba E., Iortim O., Olajide A. T., Awoseyin R. (2013). An Online Biometrics-based Class Attendance Management System African Journal of Computing & ICT (IEEE). Vol 6. No. 3. Pp 25-28.

[9]. Sopan D. B., Vaijanti B. P., Apurva D. S., Dhoot G.N. (2016). International Journal of Research in Advent Technology (IJRAT). National Conference “CONVERGENCE 2016”.

[10]. Akinduyite C. O, Adetunmbi A. O, Olabode O.O, Ibidunmoye E.O (2013). Fingerprint-Based Attendance Management System. Journal of Computer Sciences and Applications, 2013, Vol. 1, No. 5, 100-105.

[11]. Gabriel A. J. and Egwuche O. S. (2015). Modelling the Employees’ Activities of Public Service Sector using the Production Rules. Anale. Seria Informatică. Vol. XIII fasc. 2

[12]. Egwuche O. S., Adewole D. B., Olatunji S. O. (2015). Implementing E-HRM System in Developing Countries: Challenges and Prospects.

[13]. Ambadiyil S., Soorej K. S., Mahadevan P. V. (2015). Biometric based Unique ID Generation and One to One Verification. International Conference on Information and Communication Technologies. ELSEVIER. Pp 507-516.

[14]. Sarkerken D. K., Hossain N. I. and Jamil I. A. (2016). Design and Implementation of Smart Attendance Management System using Multiple Step Authentication. International Workshop on Computational Intelligence (IWCI). IEEE. Dhaka, Bangladesh. Pp 91-95.

[15]. Gadhave V. D., and Kore S. N. (2016). Portable Attendance System Integrated with Learning Management System like Moodle. IEEE International Conference on Recent Trends In Electronics Information Communication Technology.

Cite this article

Egwuche,O.S.;Gabriel,A.J. (2023). EmpAMPS: A Secure Biometrics Framework for Mitigating the Menace of Ghost Workers in Developing Economies. Applied and Computational Engineering,2,1044-1051.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 4th International Conference on Computing and Data Science (CONF-CDS 2022)

ISBN：978-1-915371-19-5(Print) / 978-1-915371-20-1(Online)
Editor：Alan Wang
Conference website: https://www.confcds.org/
Conference date: 16 July 2022
Series: Applied and Computational Engineering
Volume number: Vol.2
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Indico M. H. (2016). Development of Employee Attendance and Payroll System using Fingerprint Biometrics. Journal of Computer Science and Software Development. Volume 1, Issue 1.

[2]. Li T., Wu H., Wu T., (2012). The study of Biometrics Technology Applied in Attendance Management System. Conference Publishing Services, IEEE.

[3]. Eze P. U., Joe-Uzuegbu C. K. A, Laz U., Opara F.K. (2013). Biometric-based Attendance System with Remote Real-time Monitoring for Tertiary Institutions in Developing Countries. IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON). Pp 1-8.

[4]. Chiwa M. D. (2014). Secured Employee Attendance Management System Using Fingerprint. IOSR Journal of Computer Engineering (IOSR-JCE) Volume 16, Issue 1, PP 32-37.

[5]. Oloyede M. O., Adedoyin A. O., (2013). Fingerprint Biometric Authentication for Enhancing Staff Attendance System. International Journal of Applied Information Systems (IJAIS) – ISSN: 2249-0868 Foundation of Computer Science FCS, New York, USA Volume 5– No.3,.

[6]. Ikuomola A. J. (2015) Fingerprint-Based Authentication System for Time and Attendance Management. SCIENCEDOMAIN international. British Journal of Mathematics & Computer Science 5(6): 735-747.

[7]. Shakil M. and Rabindra N. N. (2013). Attendance Management System for Industrial Worker using Finger Print Scanner. Global Journal of Computer Science and Technology Graphics & Vision Volume 13 Issue 6 Version 1.0 Year 2013 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 0975-4172 & Print ISSN: 0975-4350.

[8]. Adetiba E., Iortim O., Olajide A. T., Awoseyin R. (2013). An Online Biometrics-based Class Attendance Management System African Journal of Computing & ICT (IEEE). Vol 6. No. 3. Pp 25-28.

[9]. Sopan D. B., Vaijanti B. P., Apurva D. S., Dhoot G.N. (2016). International Journal of Research in Advent Technology (IJRAT). National Conference “CONVERGENCE 2016”.

[10]. Akinduyite C. O, Adetunmbi A. O, Olabode O.O, Ibidunmoye E.O (2013). Fingerprint-Based Attendance Management System. Journal of Computer Sciences and Applications, 2013, Vol. 1, No. 5, 100-105.

[11]. Gabriel A. J. and Egwuche O. S. (2015). Modelling the Employees’ Activities of Public Service Sector using the Production Rules. Anale. Seria Informatică. Vol. XIII fasc. 2

[12]. Egwuche O. S., Adewole D. B., Olatunji S. O. (2015). Implementing E-HRM System in Developing Countries: Challenges and Prospects.

[13]. Ambadiyil S., Soorej K. S., Mahadevan P. V. (2015). Biometric based Unique ID Generation and One to One Verification. International Conference on Information and Communication Technologies. ELSEVIER. Pp 507-516.

[14]. Sarkerken D. K., Hossain N. I. and Jamil I. A. (2016). Design and Implementation of Smart Attendance Management System using Multiple Step Authentication. International Workshop on Computational Intelligence (IWCI). IEEE. Dhaka, Bangladesh. Pp 91-95.

[15]. Gadhave V. D., and Kore S. N. (2016). Portable Attendance System Integrated with Learning Management System like Moodle. IEEE International Conference on Recent Trends In Electronics Information Communication Technology.

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