Decentralised Trust and Security Mechanisms for IoT Networks at the Edge: A Comprehensive Review

• URL: http://arxiv.org/abs/2604.17179v1
• Date: Sun, 19 Apr 2026 00:39:15 GMT
• Title: Decentralised Trust and Security Mechanisms for IoT Networks at the Edge: A Comprehensive Review
• Abstract summary: The proliferation of IoT and edge computing has increased the demand for decentralised trust and security mechanisms.<n>This review examines various state-of-the-art decentralised mechanisms in terms of securing networks at the edge.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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 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.

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