Adaptive Trust Architecture for Secure IoT Communication in 6G

Ijaz Ahmad*, Shakthi Gimhana, Erkki Harjula

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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 languageEnglish
Pages (from-to)113-116
Number of pages4
JournalIEEE Networking Letters
Volume7
Issue number2
DOIs
Publication statusPublished - 2025
MoE publication typeA1 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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