Application Level Trust Authority (APPLETA) for Resource-Constrained Edge Devices in IoT and 6G

Mahmood S. Gohar M. Koh S.-J. Tariq M.U. Ghani A.
2025 Institute of Electrical and Electronics Engineers Inc.

IEEE Transactions on Consumer Electronics
2025 #71 Issue 2 4934 - 4948 pp.

The rapid growth of the Internet and edge devices has greatly increased the risk of cyber-attacks at the edge layer of computer networks. The rise of edge devices has driven extensive research into their cybersecurity challenges. These devices require robust protection to counter possible cyberattacks. Trust is a key security parameter used to determine the level of protection required for a device. Trustworthiness gives confidence to other devices before they offer or request a service. The trust value indicates the probability of risk that a device may incur while engaging with another device. There are various solutions, but many fail due to the diversity of edge devices in the Internet of Things. In this paper, an efficient trust management framework, APPLETA, has been proposed. It computes the trust value based on routine application transactions and authentication behaviours without additional overhead. Simulation results show that the trust value is computed more efficiently, using only one application transaction trust parameter. APPLETA has demonstrated better results against good and bad-mouthing attacks with two parameters: application transaction and authentication. This scheme can effectively segregate malicious and harmless nodes. This segregation can further assist in the precise detection of malicious nodes.

APPLETA , application transactions , artificial intelligence , blockchain , cyber-attack , edge device , Internet of Things , machine learning , network , resource-constrained , security , trust management

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Bahria University, Department of Computer Science, Islamabad, 44000, Pakistan
Kyungpook National University, School of Computer Science and Engineering, Daegu, 41566, South Korea
Abu Dhabi University, Marketing, Operations and Information Systems, Abu Dhabi, United Arab Emirates
International Islamic University, Department of Computer Science, Islamabad, 44000, Pakistan
Jeju National University, Big Data Research Center, Department of Computer Engineering, Jeju, 63243, South Korea
Nazarbayev University, School of Engineering and Digital Sciences, Department of Computer Science, Astana, 010000, Kazakhstan

Bahria University
Kyungpook National University
Abu Dhabi University
International Islamic University
Jeju National University
Nazarbayev University

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Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026