Jul 2026· International Conference on Computer, Information and Telecommunication Systems· pp. 1-8· 0 citations· 25 references
Abstract
The Internet of Robotic Things (IoRT) increasingly operates as a multi-agent edge network where robots, sensors, and gateways cooperate autonomously under tight latency and resource constraints. Blockchain can strengthen trust and access control in such deployments, but most edge implementations rely on classical ECC-based signatures, which are vulnerable to quantum-capable adversaries. This paper proposes Adaptive Quantum-Resistant Blockchain (AQRB), a crypto-agile framework that switches among classical, hybrid, and post-quantum (PQ) transaction-authentication modes for multi-agent edge IoRT. AQRB applies ML-DSA-44 (FIPS 204) at the device-tovalidator boundary; the permissioned Ethereum consensus substrate retains classical primitives — a deliberate scope boundary addressed explicitly. The framework pairs an edge permissioned blockchain with oneM2M off-chain storage, selects cryptographic modes via normalised resource and security scores, and coordinates mode changes through a lightweight on-chain governance protocol. We prototype AQRB on a three-node ZedBoard (ARM Cortex-A9, 666 MHz) testbed. ML-DSA-44 achieves sign 1.80 ms and verify 0.75ms — under 0.3% of the 780 ms block-finality budget, confirming the primitive is not the system bottleneck. Under nominal conditions, the adaptive baseline matches classical performance exactly (794 ms E2E, 45 TPS) while fixed-PQC wastes 53% more CPU; under high-criticality conditions, the emergency override commits quantum-resistant M3 on-chain within 830 ms. A simulation-based ablation shows the hysteresis mechanism cuts unnecessary mode-switch churn by 86% without delaying emergency escalation to M3. These results demonstrate that transaction-layer PQC migration is feasible on constrained IoRT edge hardware without sacrificing real-time performance; AQRB is deliberately scoped to transaction authentication and identity records, not full consensus-layer quantum resistance, which is left as future work.
The study evaluates major post-quantum cryptographic primitives, assesses their suitability for blockchain environments, and proposes a layered architecture grounded in crypto-agility, defense-in-depth, and forward secrecy.
OPAQUE-IoT, an Optimization-driven PUF-Blockchain AKA Protocol for constrained IoT networks integrates PUF-based hardware identity verification, a permissioned blockchain for decentralized trust management, and the Adaptive Security-Energy Trade-off Optimizer (ASETO), which jointly minimizes authentication latency and energy consumption under formal security constraints.
Ibrahim Aqeel· Journal of King Saud Univers...· 0 citations
A quantum-resistant, multi-layer blockchain architecture has been developed to enable remote voting with continuous verifiability and resilience, strengthening digital democracy through post-quantum security, adaptive governance, and intelligent, continuous optimizations.
Pravin R Pachorkar, Sivaram Ponnusamy, Ankita Karale· Journal of Intelligent Decis...· 0 citations
This paper introduces Data Communities as a novel paradigm for privacy-preserving, blockchain-enabled cooperative digital infrastructures, formalized within the Cooperative Digital Infrastructure (CDI) framework and formalizes privacy guarantees through an adversarial model encompassing classical, quantum, insider, and governance-level threats.
The Internet of Things look out on growing security and privacy defies, principally in light of the up growth of quantum threats. To handle these defies, we suggest a unified security framework that merges post-quantum blockchain technologies and zero-knowledge proofs (ZKPs) to attain secure authentication, decentralized identity management, and advanced data protection. The provided system based on a power-weighted consensus mechanism, compressed and overlapping recursive ZKPs, and transaction batching to decrease on-chain load. The outcomes display that the suggested system outperforms conventional systems and state-of-the-art solutions, with response time reduced to 92 ms, transaction throughput increased to 735 tx/s, energy consumption reduced to 0.37 J/op, and authentication accuracy increased to 97.6%, achieving a privacy score of 0.91.These outcomes emphasize that the offered framework not only attains superior performance but as well supplies strong resistance to quantum attacks and high privacy warranties, making it a promising solution for securing future IoT environments.
Hayder A. Nahi, Rusul A. Salman, Awring Falah Hassan et al.· Discover Computing· 0 citations