Aug 2026· American Journal of AI Cyber Computing Management· 0 citations· 17 references
TL;DR
This research introduces a novel Unified Quantum-Resilient Blockchain-Zero Knowledge Proofs Privacy Authentication Framework (QBC-ZKPAF), which provides strong security and privacy solutions for Internet of Things networks by adopting multi-factor authentication and decentralizing identity management.
Abstract
This research introduces a novel Unified Quantum-Resilient Blockchain-Zero Knowledge Proofs Privacy Authentication Framework (QBC-ZKPAF) aimed at enhancing security in IoT environments. The system combines post-quantum cryptography, blockchain technology, and Zero Trust Architecture (ZTA) to provide secure communication, access management, and privacy-preserving authentication. It uses a Deep Q-Network Multi-Factor safe Key (DQN-MFSK) for dynamic key selection, a hybrid Reinforcement-Lattice Blockchain Key Generation for quantum-resilient key creation, and Zero-Knowledge Proofs for privacy-preserving signatures to ensure a safe Internet of Things environment. Data privacy, secrecy, auditability, traceability, and resistance to changing threats, such as quantum attacks, are all guaranteed by this architecture. Transparency and thorough post-event audit trails are supported by the blockchain ledger's immutability, which records all access attempts, data exchanges, and device interactions in an unchangeable way. Through a tracing key kept on the audit server within the Zero Trust Architecture, the architecture allows accurate source tracing in the event of suspicious activity or breaches. QBC-ZKPAF provides strong security and privacy solutions for Internet of Things networks by adopting multi-factor authentication and decentralizing identity management. The framework's efficacy is confirmed by experimental results, which show 98% privacy preservation, 700 TPS throughput, 0.98 quantum resilience, and 96% access control effectiveness, making it ideal for contemporary blockchain and IoT applications.
Experimental evaluation shows that the ARSIP-enabled framework achieves a 30% reduction in latency, a 43% improvement in attack detection accuracy, and a 35% reduction in energy consumption compared with baseline blockchain-based healthcare systems.
P. V. Kumar, N. Velmurugan· Discover Computing· 0 citations
The rapid growth of the Internet-of-Medical-Things (IoMT) and quantum computing presents significant security risks. Quantum algorithms efficiently break traditional public-key encryption, exposing sensitive patient data to long-term threat. Consequently, ensuring robust authentication and long-term security under quan...
Zhao-Feng Huang, Yu-Hong Ke, Xu Yang et al.· IEEE Internet of Things Jour...· 0 citations
This paper proposes EPPCDS, an efficient privacy-preserving cloud data sharing scheme with blockchain-assisted access control and periodic integrity checking, and demonstrates that it outperforms representative existing schemes in terms of policy creation, policy update, and data access efficiency.
This research presents a novel decentralized identity management system leveraging Ethereum smart contracts and cryptographic protocols to enable self-sovereign digital identities and introduces a privacy-preserving mechanism using encryption-key splitting among trusted peers to enable recovery of encrypted off-chain d...
Harika Naidu Beesabathuni· International Journal of Int...· 1 citation· ⚡1
The findings indicate that unifying adaptive privacy preservation with decentralized integrity auditing yields a more complete cloud-security posture than either mechanism alone, and the paper outlines the empirical validation, including full-scale testbed experiments, required before deployment.
Jayakumar D, M. Ramamoorthy· International journal of com...· 0 citations
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