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Temporal Authentication Model for The Internet of Things Edge Devices for Sustainable User Privacy

Year: 2025

Type: article

Abstract: Internet of Things (IoT) integrated edge devices are used in different real-time applications for providing cloud-based services to the users. ‎As security issues are open in such integrated device platforms, the need for device authentication and user privacy is mandatory. This article, therefore, introduces a Temporal Authentication Model (TAM) for IoT-edge devices to sustain user privacy demands. The proposed ‎model employs distributed federated learning to validate authentication and revocation processes under different sharing intervals. A temporal factor is used to validate the authentication sustainability without key changes across the sharing intervals. This temporal factor is used ‎to decide the authentication or revocation for different devices. The distributed federated learning verifies the balance between these two ‎processes to ensure maximum authentication. Thus, the proposed TAM improves the authentication rate by 11.39% and reduces the revocation failure by 11.39%, authentication time by 12.44%, and complexity by 11.61% for the operation time.

Source: International Journal of Basic and Applied Sciences

DOI: 10.14419/8jbh3a60

Authors: Jenish. M., K. Karuppasamy, T. Bhuvaneswari, L. Mohana Kannan, Deepika. K., S. V. Lakshmi

Institutions: Dr. N.G.P. Institute of Technology, Sengunthar Engineering College (Autonomous), Karpagam Academy of Higher Education

Language: English

Topic: Advanced Authentication Protocols Security

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4415992533

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