The proposed architecture significantly amplifies organizational resilience against sovereign-state data disruption and harvesting attempts within highly adversarial environments and offers an extensible foundation for the development of future resilient ecosystems supported by blockchain and quantum technologies.
Abstract
This paper proposes, implements and tests a resilient and decentralized system based on blockchain and quantum-secure communication for cyber, scientific, and strategic diplomacy. By introducing a dynamic post-quantum cryptographic binding layer, the proposed architecture significantly amplifies organizational resilience against sovereign-state data disruption and harvesting attempts within highly adversarial environments. The system guarantees end-to-end transparency and confidentiality in the sharing of resources, and it can be used in resilient organizations and for cyber, scientific, and strategic diplomacy. It integrates the following technologies and modules: blockchain technology with a semantic distribution of quantum keys, a frontend interface built exclusively with React, a backend module implemented in Python Flask 3.1.2 and served via Gunicorn 25.0.3, and a set of modular components dedicated to blockchain, quantum simulation, and distributed storage. Moving past theoretical bounds, this work presents structural Threat Models, real-world deployment parameters for Eastern European research infrastructures, and multi-variable empirical performance evaluations under authentic institutional workloads. Moreover, the proposed architecture offers an extensible foundation for the development of future resilient ecosystems supported by blockchain and quantum technologies.
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.
With the development of quantum computing, classical cryptosystems (RSA, ECDSA) that ensure the security of distributed ledgers face an existential threat. This paper examines protocols for protecting personal data (PD) in blockchain, taking into account the “Harvest Now, Decrypt Later” strategy. We propose and formalize a family of protocols designed for storing and exchanging personal data in blockchain systems. The article describes in detail approaches to software implementations of smart contracts for the Ethereum (using ECIES (Elliptic Curve Integrated Encryption Scheme) and Keccak-256) and Hyperledger Fabric 2.5 (integrating NIST post-quantum standards: ML-KEM (Module-Lattice-Based Key Encapsulation Mechanism) and ML-DSA (Module-Lattice-Based Digital Signature Algorithm)) platforms based on the developed protocols. For all developed protocols, a Threat Agent Model (TAM) is presented, threat scenarios are examined, and resilience to typical attack scenarios is demonstrated. A comparative analysis of computational efficiency and overhead is conducted. The results show that using lattice cryptography provides high performance, but the 50-fold increase in signature size makes direct implementation of PQC (Post-Quantum Cryptography) in Layer 1 public networks economically unfeasible. A hybrid model and the use of Layer 2 to ensure quantum resistance are proposed.
E. Ishchukova, K. Romanenko, S. Petrenko et al.· The Scientist· 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.
Secure and transparent system for recording and verifying digital transactions across distributed networks. Distributed blockchain consensus is achieved through decentralized protocol rules, cryptographic authentication mechanisms, and scalable energy-efficient operations. The present study applies Quantum Mayfly Optimization (QMFO) within a blockchain-based collaborative intrusion detection framework. Collaborative intrusion detection systems (CIDS) have certainly carved their valued place in enhancing modern cybersecurity in the complex landscape of cyber threats. What the BCIDF brings into the picture is a new radical avenue to enhance the detection of new threats and information sharing. In this respect, the proposal cohesively combines distributed blockchain technology and collaborative intrusion detection to increase security, transparency, and trust within cyber realms. Fine-tuning the model parameters will improve blockchain classification accuracy and efficiency, and O(QMFO), a bio-inspired hybrid algorithm inspired by the principles of quantum leaf-edge swarm behavior, is directed toward ensuring the security and performance of blockchain networks. Quantum Mayfly optimization (QMFO) and a Blockchain-based Collaborative Intrusion Detection Framework (BCIDF) are designed to secure distributed networks by allowing tamper-resistant sharing of alerts in the case of an attack across the blockchain. The term 'Quantum Mayfly Optimizer (QMFO)' here is used to amplify performance, speed, and accuracy. Integration, therefore, guarantees the best detection and few false positives, and ensures adaptive actions against upcoming threats.
M. Savitha, I. P. Stella Mary, A.Manikandan et al.· 2026 6th International Confe...· 0 citations
Popularized by the Bitcoin cryptocurrency, blockchain technology establishes a decentralized digital framework that utilizes cryptographic and consensus protocols to secure data against unauthorized modification. Consequently, blockchain has found broad adoption across diverse fields, including finance, data management, healthcare, and digital asset governance. In the quantum computing era, a paramount objective for blockchain is to preserve its foundational advantages of cryptographic integrity and decentralized fault-tolerant resilience. In principle, quantum digital signatures and quantum Byzantine agreement protocols offer foundational security guarantees and tolerate up to one-half of malicious nodes for blockchain. However, the practical realization of such a quantum-enhanced blockchain remains a significant and multifaceted challenge. Here, we propose and experimentally demonstrate a fully operational hybrid quantum blockchain architecture built on photonic integrated circuits and deployed over commercially available classical telecommunications infrastructure. The system achieves a fault tolerance of nearly one-half, surpassing the classical limit, while reaching consensus on a timescale of seconds. A deployed food traceability application validates the practicality of the proposed architecture, achieving a throughput of approximately 500 transactions per second. This work establishes a foundation for practical quantum blockchains, enabling secure, scalable, and decentralized information processing in the emerging quantum era.
Yongqiang Du, Chenkai Weng, Feng Xie et al.· 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