Decentralised Trust and Security Mechanisms for IoT Networks at the Edge: A Comprehensive Review
arXiv SecurityArchived Apr 21, 2026✓ Full text saved
arXiv:2604.17179v1 Announce Type: new Abstract: INTRODUCTION: The proliferation of the amalgamation of IoT and edge computing has increased the demand for decentralised trust and security mechanisms capable of operating across heterogeneous and resource-limited devices. Approaches such as federated learning, Zero Trust architectures, lightweight blockchain and distributed neural models offer alternatives to centralised control. OBJECTIVES: This review examines various state-of-the-art decentrali
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Computer Science > Cryptography and Security
[Submitted on 19 Apr 2026]
Decentralised Trust and Security Mechanisms for IoT Networks at the Edge: A Comprehensive Review
Khandoker Ashik Uz Zaman, Mahdi H. Miraz, Mohammed N. M. Ali
INTRODUCTION: The proliferation of the amalgamation of IoT and edge computing has increased the demand for decentralised trust and security mechanisms capable of operating across heterogeneous and resource-limited devices. Approaches such as federated learning, Zero Trust architectures, lightweight blockchain and distributed neural models offer alternatives to centralised control. OBJECTIVES: This review examines various state-of-the-art decentralised mechanisms and evaluates their effectiveness in terms of securing IoT networks at the edge. METHODS: Thirty recent studies were analysed to compare how decentralised architectures establish trust, support secure communication and enable intrusion and anomaly detection. Frameworks, such as DFGL-LZTA, SecFedDNN and COSIER were assessed. RESULTS: Decentralised designs enhance privacy, reduce single points of failure and improve adaptive threat response, though challenges remain in scalability, efficiency and interoperability. CONCLUSION: The study identifies key considerations and future research needs for building secure and resilient trust-aware IoT edge ecosystems.
Subjects: Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI); Networking and Internet Architecture (cs.NI)
Cite as: arXiv:2604.17179 [cs.CR]
(or arXiv:2604.17179v1 [cs.CR] for this version)
https://doi.org/10.48550/arXiv.2604.17179
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Journal reference: EAI Endorsed Trans IoT [Internet]. 2026 Mar. 31 [cited 2026 Apr. 19];11
Related DOI:
https://doi.org/10.4108/eetiot.10996
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Submission history
From: Khandoker Ashik Uz Zaman [view email]
[v1] Sun, 19 Apr 2026 00:39:15 UTC (1,219 KB)
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