Symbiotic Communication improves spectrum efficiency and sustainability in 6G through cooperative resource exchange among heterogeneous devices. Its integration with blockchain enables Symbiotic Blockchain Networks (SBNs), which provide decentralized and immutable agreements for symbiotic services. However, these systems assume that off-chain wireless observations are correct. This assumption is unreliable in adversarial and noisy PHY-layer environments. This paper identifies a fundamental trust gap between off-chain observations and on-chain consensus. We adapt OCR-style off-chain aggregation to Symbiotic Blockchain Networks (SBNs) and analyze its role as a pre-consensus validation layer for noisy and adversarial wireless service observations. The contributions are threefold: (i) formulation of trust in symbiotic 6G systems as a decentralized aggregation problem under uncertain PHY observations; (ii) design of a selective anchoring mechanism that records only quorum-approved outcomes; and (iii) analytical and experimental evaluation indicating improved trust robustness while preserving scalability, latency, and energy efficiency. Our proposed approach provides a practical foundation for trustworthy symbiotic service exchange in large-scale 6G environments.
Experimental results on a hardware prototype demonstrate that compared with no-blockchain trust-by-default baselines, the zero-trust overhead of TrustAgentNet is dominated by off-chain inference, while the blockchain layer incurs minor ledger costs via the ledger-IPFS storage and on/off-chain integration design.
Yayu Gao, Yong Xiao, Hao Hu et al.· IEEE Transactions on Cogniti...· 0 citations
Elastic Proof-of-Location Byzantine Fault Tolerance is proposed, a privacy-preserving and location-aware blockchain consensus framework for IoT systems that reduces communication overhead and improves consensus efficiency compared with conventional PBFT-based approaches while strengthening resilience against location-b...
Yunus Kareem, D. Djenouri, Essam Ghadafi· Future Internet· 0 citations
BEAT (Blockchain–Edge AI Trust) is presented, which closes that gap through co-design of three coupled layers: a Graph Attention Network–Long Short-Term Memory (GAT-LSTM) edge module that converts device interaction graphs into normalised trust evidence vectors.
Pavansai Ramarao Maddali, Vijay Kumar Damera, Ratna Kumar Prathipati· International Journal of Adv...· 0 citations
Simulation results show that compared with standard PBFT, Q-PBFT, and APBFT, H-PBFT exhibits significant advantages in consensus latency, throughput, and view switching recovery time, and maintains high system robustness even in complex network environments with malicious nodes.
Zhen-Hua Wang, Jiangang Hu, Xinmeng Wang et al.· Future Internet· 0 citations
The rapid development of the Internet of Things (IoT) has placed considerable pressure on both security and stability in heterogeneous, resource-constrained networks. In such dynamic environments, trust management is a central issue to determine which service providers can be trusted and to combat malicious activity....
M. A. Al-Khasawneh, D. Alsekait, K. Alkayid et al.· Scientific Reports· 0 citations
\RC, a participant trust framework that uses blockchain as an evidence and provenance layer rather than as the source of trust, and supports a bounded reduction in reputation distortion, not attacker detection.
Adnan Iftekhar, Chengliang Zheng, Xiaohui Cui et al.· 0 citations
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