This research introduces and experimentally substantiates a Zero-Trust Architecture (ZTA) that incorporates a federated ResNet-50 model for anomaly detection, a decentralized identification system based on Hyperledger Fabric using zk-SNARKs, and CRYSTALS-Kyber for quantum-resistant key exchange.
Abstract
The expansion of the Metaverse presents security risks that conventional perimeter-based protections are unable to mitigate. This research introduces and experimentally substantiates a Zero-Trust Architecture (ZTA) that incorporates a federated ResNet-50 model for anomaly detection, a decentralized identification system based on Hyperledger Fabric using zk-SNARKs, and CRYSTALS-Kyber for quantum-resistant key exchange. The architecture attains a 42.7% decrease in False Acceptance Rate (5.2% compared to a 9.1% baseline, p < 0.01), 99.1% resilience to Sybil attacks, and partial compliance with GDPR using cryptographic erasure proofs. Quantum security is based on the Module-LWE issue, requiring 2187 operations, which surpasses NIST Level 3 standards, and incurs a latency overhead of 1.2 times and an energy consumption increase of 28.9% compared to AES-256. AI inference needs 3.1 times more GPU resources. Four innovative contributions are introduced: Integrated ZTA empirical validation, FAR reduction benchmark, zk-SNARKs for GDPR compliance, and human-centric validation indicating that usability predicts adoption (β = 0.47, p < 0.001). The architecture offers a scalable, experimentally substantiated basis for protecting decentralized virtual environments.
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
A comparative review of five blockchain implementations that incorporate PQC mechanisms across multiple platforms, including Hyperledger Fabric, Ethereum, and LACChain, shows that straightforward replacement of classical signatures at the identity layer can substantially increase certificate sizes in some implementations leading to measurable reductions in throughput and increases in transaction latency.
Tyler Judd, Krish Jindal, S. Uludag· IEEE International Symposium...· 0 citations
The transition from post-quantum cryptographic standardization to operational deployment requires more than the selection of a quantum-resistant algorithm. It requires traceability from the mathematical assumptions of the primitive to implementation requirements, protocol composition, migration controls, and runtime governance. This paper develops a cross-layer assurance framework for deploying the NIST-standardized Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM) within crypto-agile Zero Trust architectures. The paper presents a simplified algebraic model of the public-key encryption operations underlying ML-KEM, emphasizing quotient-ring arithmetic, module operations, controlled noise, and cancellation of the principal bilinear term. It then distinguishes this explanatory model from the complete mechanism specified in FIPS 203, including standardized sampling, encoding, compression, hashing, key derivation, ciphertext consistency checking through re-encryption and comparison, implicit rejection, and prescribed decapsulation behavior. The principal contribution is an assurance framework connecting three levels: algebraic assurance, implementation assurance, and cryptographic governance. A deployment architecture, threat model, crypto-agility lifecycle, and bounded AI-assisted monitoring model are presented to show how ML-KEM profiles can be inventoried, approved, negotiated, observed, migrated, rolled back, and audited without altering the underlying cryptographic guarantees. The resulting framework provides a technically grounded bridge between ML-KEM mathematics and practical post-quantum migration in Zero Trust systems.
William Edwards, Miroslav Vukovic, Jeffrey Wallace· Electronics· 0 citations
A lightweight blockchain-based authentication framework for secure communication in Internet of Things (IoT) networks that integrates a permissioned blockchain with ECC-256 to provide mutual authentication, data integrity, and non-repudiation for resource-constrained IoT devices.
Ashraf A. Abu-Ein, Obaida M. Al-hazaimeh· WSEAS Transactions on Inform...· 0 citations
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.
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.
