Enhancing the Access Integrity of Higher Education Institutions Through the Implementation of a Biometric Authentication System
It is of the utmost necessity to implement access control and security measures within educational institutions of higher learning in order to protect sensitive information and facilities. Passwords and identification cards are two examples of traditional authentication techniques that have been shown to be vulnerable to security breaches and identity theft. A novel biometric authentication technique that is adapted to the specific requirements of higher education institutions is presented in this research as a means of addressing the vulnerabilities that have been identified. Given the rapid increase in the number of electronic crimes and the challenges that are associated with them, the deployment of a user authentication system that can be trusted has become an important obligation for both access control and the protection of users' private data. A high level of security can be achieved by the use of human biometric features such as voice, finger, iris scanning, face, signature, and other aspects. These features can be utilised for both private and public purposes. The purpose of this article is to provide a full overview of the biometric authentication technique, including an outline of its design, functioning, and security measures. In addition to this, we provide the outcomes of a pilot implementation that was carried out within an educational establishment of higher learning, which demonstrated enhanced access security and user satisfaction. It is explored how to ensure responsible handling of biometric data by taking into account ethical considerations and protecting individuals' privacy. Several other biometric authentication techniques have been under consideration for a considerable amount of time. Because of the unique characteristics of human biometrics, which played a significant role in providing protection against attacks by imposters? Some of the most significant problems that pose a threat to the integrity of the system and impede the delivery of services in an efficient manner include identity theft, spoofing, and the dependability of authentication systems at educational institutions of higher learning. Because the threshold was only one try, the total number of tests that were conducted in the experiment was fifteen. The palm vein authentication process normally took 9.15 seconds, but the fingerprint authentication process often took over 2.67 seconds. Because of this, the palm vein was slower than the fingerprint in terms of its speed. There were a number of factors that determined pal's slow authentication time, including the anatomy of the hand and the distance between the palm and the scanner. While the fingerprint system has an accuracy rate of sixty percent, the palm vein system has a rate of ninety-three point three percent, making it the model that is more suitable for usage at an educational institution of higher learning. There are many different variables and application domains that can have an effect on whether or not a biometric system functions properly. The objective of this work is to have a conversation about a suitable biometric authentication model that may be utilised to enhance the dependability of biometric systems at educational institutions of higher learning. Higher education institutions are currently facing issues related to access integrity, and the biometric authentication technique that has been presented provides a forward-looking answer to these challenges. Because of the implementation of this technology, educational institutions are able to improve their security posture, safeguard sensitive data, and offer a more easy and secure access experience to their staff, teachers, and administrative personnel.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-11-06
- DOI
- https://doi.org/10.5281/zenodo.14043486
- Primary Topic
- Remote Sensing and LiDAR Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00