The University of Central Florida’s Institute for Simulation and Training has been awarded by the ARO (Army Research Office) a DURIP (Defense University Research Instrumentation Program) award to build a blockchain and quantum defense simulator. This unique program allows for state-of-the-art technology to be built not only to serve the U.S. military but also to provide for research and experimentation throughout academia, industry, non-profits, and other partnerships. As America’s Partnership University,™ UCF is committed to broad-access critical infrastructure that will help define our future. With the age of quantum computing at our doorstep, the cryptographic methods used and the security of the entire process, including the people, processes, and technology, could be susceptible to bad actors.
The University of Central Florida’s Institute for Simulation and Training has been awarded by the ARO (Army Research Office) a DURIP (Defense University Research Instrumentation Program) award to build a blockchain and quantum defense simulator. This unique program allows for state-of-the-art technology to be built not only to serve the U.S. military but also to provide for research and experimentation throughout academia, industry, non-profits, and other partnerships. As America’s Partnership University,™ UCF is committed to broad-access critical infrastructure that will help define our future. With the age of quantum computing at our doorstep, the cryptographic methods used and the security of the entire process, including the people, processes, and technology, could be susceptible to bad actors.
In a world rapidly shaped by the ascent of Quantum Computing, the blockchain ecosystem confronts unprecedented challenges. The immense computational power of Quantum Computers (QC) poses a threat to classical cryptographic approaches employed by blockchain technology. This study takes a comprehensive view of Post Quantum Cryptosystems within the context of blockchain, delving into existing schemes, security requirements, and dynamic shifts necessary to navigate in the Quantum Era. The research delves into the vulnerabilities QC poses to current blockchain schemes and explores potential mitigation strategies while emphasizing the creation of quantum-secure systems. Additionally, the study includes a comparative analysis of post-quantum cryptography algorithms that could ad-vance next generation blockchain systems. Moreover, operational challenges of blockchain in the Quantum Age (QA) are assessed through a comparison with current challenges based on NIST Quantum Challenge Algorithms. Finally, Private Authentication for Rotational Secrecy (PARS) Protocol is proposed for Internet of Military Things Based Quantum Defense Blockchain (IoMT-QDB) which bolster secure message exchange of military systems in a quantum-threat environment.
The convergence of blockchain technology and quantum-resistant artificial intelligence (AI) frameworks marks a significant advancement in cybersecurity. A blockchain-powered framework for quantum defensive AI aims to create robust, tamper-proof AI systems capable of withstanding the emerging threats posed by quantum computing. As quantum computers have the potential to break conventional cryptographic algorithms, integrating quantum-resistant cryptographic methods within a blockchain ensures data integrity and security. Due to being decentralized, blockchain makes it possible to see a ledger that is impossible to alter, which is required for monitoring AI actions and securing AI-powered applications. Here, blockchain is used so that data and models can be verified, their updates are secure, and everything can be audited. Machine learning is introduced to blockchain security to ensure that it remains protected from future quantum-style hacking attempts. Because of this integration, AI systems will be more secure, and the blockchain infrastructure will be better able to resist any future threats brought by quantum computers. It has been revealed by using blockchain technology with period defensive AI that both traditional and post-quantum transactions become more abundant with the passage of time. Out of every five transactions performed per second on a post-quantum computer, at least four utilize quantum principles and operate with much higher efficiency. This research is necessary to speed up the handling of transactions that need rapid attention. The choice of using a hybrid approach is sure to initiate a time when AI is highly secure and transparent, and it will be crucial in areas such as finance, healthcare, and the security of nations. Using these advanced technologies, it ensures that AI applications can remain stable against cyber threats that may exist in the future.
The advent of quantum computing has generated apprehensions regarding the viability and security of conventional cryptographic algorithms. These algorithms safeguard the decentralized trust built into the blockchain, which relies on decentralized cryptographic consensus, instead of a central authority. Simultaneously, quantum computing has also unveiled unprecedented possibilities, opportunities and risks in the realm of technology. The significance of this is that numerous sub-routines employed within the blockchain, such as consensus protocols, data transmission, storage, and communication, heavily depend on conventional cryptographic algorithms like Rivest-Shamir-Adleman (RSA) and Elliptic Curve Digital Signature Algorithm (ECDSA). However, these algorithms are susceptible to quantum algorithms, which have the potential to effectively compromise them once quantum computers with sufficient computational capabilities are developed. Blockchain, although primarily recognized for its association with cryptocurrencies, is essentially a decentralized and trustless distributed ledger system. Its purpose is to enable decentralized communication, coordination, and the attainment of desired objectives through consensus mechanisms. A notable illustration of this concept is a blockchain transaction. The advent of quantum computing poses a significant threat to the security of blockchain systems, as the asymmetric algorithms employed within their many components will likely become obsolete. This jeopardizes the integrity of the blockchain system, which underpins a multi-billion dollar economy reliant on its inherent transparency and safety. This paper seeks to present an overview of the various threats faced by blockchain systems, examine the potential of quantum algorithms in offering cryptographic signatures for these systems, and provide a broad perspective on how to protect blockchain systems from quantum threats by utilizing quantum algorithms for cryptographic signatures. This study enhances the comprehension of existing vulnerabilities in blockchain systems, specifically focusing on the potential risks posed by quantum computing. Additionally, it sheds light on the ongoing efforts within the industry and current research endeavors aimed at addressing these weaknesses.
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.
This work explores the radical convergence of quantum computing, artificial intelligence, and blockchain technology in the future generation of military stealth systems. The study concerns autonomous drones (low, ultra-low radar cross-section or RCS functionality) secured by quantum-safe blockchain protocols. Through the complete examination of the quantum-AI synergies, the paper suggests a new model of the military stealth technology, making it ever more invisible, self-governing, and malware-proof than before. According to the proposed system, radar detectability is reduced by 94.7 % compared to current stealth technology, and it can camouflage itself in real time, using quantum machine learning algorithms. The system is immune to cyber warfare attacks since blockchain integration provides tamper-proof communications and command protocols. The research methodology presents a converged method connecting theoretical knowledge of quantum mechanics and practical application of AI and blockchain security protocols. The findings show that the quantum-boosted AI algorithms would be able to process battlefield data 1,000 times faster than traditional systems and have impeccable stealth qualities. The implications of this breakthrough on current warfare, defense strategy, and national security implementation are enormous.
The various branches of the U.S. military have systematically laid out related projects in quantum technology, accelerating the application of quantum technology in the field of defense. This article analyzes the development trend of quantum technology from four perspectives: defense, funding, industry, and research output. Taking the U.S. military as the main object, based on the Department of Defense’s 2024 fiscal year defense technology budget, it analyzes the project layout of U.S. Army, Navy, Air Force and Defense Advanced Research Projects Agency in the field of quantum technology; it analyzes the application prospects of quantum technology in defense, and elaborates on the high-precision detection capabilities of quantum sensing technology, the high-speed information processing capabilities of quantum computing, and the secure confidential communication capabilities of quantum communication.