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Abstract
This letter presents an adaptive trust architecture that enables secure, low-latency communication in 6G-enabled Internet of Things (IoT) networks, centering around a novel Adaptive Zero Trust Manager (AZTM) deployed at the network edge. Integrating zero trust principles with a lightweight, consensus-free blockchain, AZTM provides real-time authentication and behavior-based trust evaluation while maintaining energy efficiency. It supports secure device communication through dynamic key exchange, eliminating reliance on pre-shared secrets or centralized trust authorities. The system is validated through implementation on resource-constrained IoT devices, demonstrating low-latency performance, resilience to common attacks, and suitability for mission-critical 6G applications such as healthcare, industrial automation, and intelligent transport.
Original language | English |
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Pages (from-to) | 113-116 |
Number of pages | 4 |
Journal | IEEE Networking Letters |
Volume | 7 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2025 |
MoE publication type | A1 Journal article-refereed |
Funding
This work was supported in part by the Finnish Doctoral Program Network in Artificial Intelligence, AI-DOC under Grant VN/3137/2024-OKM-6; in part by the Business Finland through the Project Eware-6G under Grant 8819/31/2022, through the Project Tomohead under Grant 8095/31/2022, and through the Project SUNSET-6G under Grant 8682/31/2022; and in part the 6G Flagship funded by the Research Council of Finland under Grant 369116.
Keywords
- 6G
- Adaptive Security
- Blockchain
- Decentralized Authentication
- Energy Efficiency
- Internet of Things (IoT)
- Zero Trust
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SUNSET-6G : Sustainable Network Security Tech for 6G
Ahmad, I. (Manager), Porambage, P. (Participant), Suomalainen, J. (Participant), Rumesh, Y. (Participant), Singh, R. (Participant), Ahola, K. (Participant) & Malinen, J. (Participant)
1/01/23 → 31/12/25
Project: Business Finland project