Decentralised Trust and Security Mechanisms for IoT Networks at the Edge: A Comprehensive Review
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arXiv
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| Format: | Preprint |
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2026
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| _version_ | 1866911605452701696 |
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| author | Zaman, Khandoker Ashik Uz Miraz, Mahdi H. Ali, Mohammed N. M. |
| author_facet | Zaman, Khandoker Ashik Uz Miraz, Mahdi H. Ali, Mohammed N. M. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_17179 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Decentralised Trust and Security Mechanisms for IoT Networks at the Edge: A Comprehensive Review Zaman, Khandoker Ashik Uz Miraz, Mahdi H. Ali, Mohammed N. M. Cryptography and Security Artificial Intelligence Networking and Internet Architecture 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. |
| title | Decentralised Trust and Security Mechanisms for IoT Networks at the Edge: A Comprehensive Review |
| topic | Cryptography and Security Artificial Intelligence Networking and Internet Architecture |
| url | https://arxiv.org/abs/2604.17179 |