Quantum computing has positioned itself as a serious threat to traditional cryptography, undermining the very foundation of present-day methods of transaction and the popularly used digital payment systems. Here lies an interest in proposing a platform that can remedy these quantum-age risks present in payment mechanisms. The intended aim thus becomes that of building a secure and scalable payment system that uses quantum computing algorithms to train AI models for fraud detection in real-time, QKD to manage key security, and PQC to securely encrypt transaction data. For privacy, ZKP will be used to verify the transaction without revealing any details from it. Also, the platform will integrate multichain blockchains with quantum sharding, allowing separate processing, and distribution of transaction storage. Experimental results have shown that the proposed platform can resist quantum attacks, attain more accuracy in ratio detection, and improve the transaction speed more than the average blockchain solutions. The novelty of this research stands on the enhanced multichain blockchain architecture and improved Zero-Knowledge Proof protocols, which improve scalability and privacy. By bringing multichain architecture, quantum computing, QKD, and PQC into one model, this platform sets the benchmark for a secure, scalable, and affordable digital payment system.
Quantum computing has positioned itself as a serious threat to traditional cryptography, undermining the very foundation of present-day methods of transaction and the popularly used digital payment systems. Here lies an interest in proposing a platform that can remedy these quantum-age risks present in payment mechanisms. The intended aim thus becomes that of building a secure and scalable payment system that uses quantum computing algorithms to train AI models for fraud detection in real-time, QKD to manage key security, and PQC to securely encrypt transaction data. For privacy, ZKP will be used to verify the transaction without revealing any details from it. Also, the platform will integrate multichain blockchains with quantum sharding, allowing separate processing, and distribution of transaction storage. Experimental results have shown that the proposed platform can resist quantum attacks, attain more accuracy in ratio detection, and improve the transaction speed more than the average blockchain solutions. The novelty of this research stands on the enhanced multichain blockchain architecture and improved Zero-Knowledge Proof protocols, which improve scalability and privacy. By bringing multichain architecture, quantum computing, QKD, and PQC into one model, this platform sets the benchmark for a secure, scalable, and affordable digital payment system.
The increasing reliance on electronic payment systems has caused problems in terms of data protection and fraud control. Traditional cryptographic algorithms like RSA and ECC become increasingly vulnerable with advancements in quantum computing technology, and hence the development of quantum-resistant security protocols is an absolute need. Based on fundamental quantum concepts like quantum connection and the no-cloning theorem, quantum cryptography (QC), along with especially quantum key distribution (QKD), provides an encryption method that is potentially infallible. In order to improve secrecy, integrity, and authentication processes, the current study takes into account the integration of QKD into online payment systems. The use of artificial intelligence (AI) in fraud detection is also discussed in the study, with particular reference to real-time the tracking of transactions and anomaly detection. The susceptibility of QKD-based security protocols to both conventional and quantum-facilitated cyberattacks is determined by comparing conventional cryptographic systems with their quantum-secured counterparts. The study determines that quantum-augmented encryption significantly reduces threats in terms of key distribution and interception of information, hence guaranteeing a safe and forward-thinking digital transactional platform.
Quantum computing's development poses a significant threat to the cryptographic security of current blockchain technologies, potentially undermining the integrity of digital transactions. Quantum computers can break the complex mathematical problems that algorithms like RSA and ECC rely on, which could lead to vulnerabilities such as double-spending and fraud. To address these risks, the blockchain community is exploring quantum-resistant protocols that employ post-quantum cryptographic algorithms, which are designed to withstand quantum computing attacks. Quantum-secure blockchain protocols integrate quantum key distribution (QKD) and post-quantum cryptography (PQC) to enhance security. QKD uses quantum mechanics principles to secure communication channels, ensuring that any attempt to intercept the key introduces detectable anomalies. PQC involves algorithms like lattice-based, hash-based, or multivariate polynomial-based algorithms that are believed to be secure against quantum attacks. These protocols aim to maintain the confidentiality, integrity, and security of data transmitted over the blockchain, ensuring the longevity and reliability of blockchain systems in the face of evolving computational advancements. A quantum-secure blockchain scheme (QSB) utilizes a consensus mechanism, QPoA, and IQS. The QPoA is leveraged for block generation while the IQS is deployed in transaction verification1. Furthermore, the integration of quantum computing with blockchain can address current limitations, such as slow transaction speeds and lack of scalability, by optimizing calculations and enabling smarter, more sophisticated smart contracts. The development and implementation of quantum-resistant blockchains are essential for future-proofing digital transactions and maintaining trust in decentralized systems
With the rise of quantum computing, traditional cryptographic security measures are becoming increasingly vulnerable to attacks. The financial industry, heavily reliant on AI-driven transactions and blockchain technology, faces a significant challenge in ensuring data integrity and transaction security in the post-quantum era. This paper explores the integration of quantumresistant cryptographic techniques into blockchain networks to safeguard AI-driven financial transactions. By leveraging lattice-based cryptography, quantum key distribution (QKD), and zero-knowledge proofs (ZKPs), quantum-secure blockchain solutions enhance both security and efficiency. Empirical analysis demonstrates that quantum-resistant blockchain outperforms traditional cryptographic methods in securing financial transactions against quantum threats.
This chapter investigates the transformative potential of integrating quantum computing and blockchain technology to enhance fraud detection and bolster risk management in financial systems. As digital transactions become more complex and vulnerable to quantum-based threats, conventional security methods are increasingly inadequate in detecting fraud and managing risks effectively. Quantum computing, leveraging principles like superposition and entanglement, in combination with the decentralized framework of blockchain, presents robust solutions to these challenges. The chapter covers fundamental concepts in quantum computing and blockchain, emphasizing crucial algorithms such as quantum machine learning and quantum-resistant cryptography, which optimize fraud detection mechanisms. Several case studies demonstrate practical applications, including using quantum algorithms to increase fraud detection accuracy and blockchain for maintaining secure, immutable transaction records. While integrating quantum and blockchain technologies holds great promise, challenges such as technological scalability, high computational costs, and integration with existing financial infrastructures remain. Despite these hurdles, ongoing advancements suggest that quantum-blockchain systems will significantly improve the resilience of fraud detection and risk management in financial networks. This chapter provides an in-depth overview of the current state and future prospects of this emerging field.
The rise of quantum computing introduces a profound threat to existing digital security frameworks, particularly those that underpin modern payment systems. Current cryptographic standards, such as RSA, ECC, and ECDSA are susceptible to being broken by quantum algorithms like Shor's and Grover's, jeopardizing the confidentiality, authenticity, and integrity of transactions across financial networks. This study presents a comprehensive investigation into the design, feasibility, and architecture of a universal quantum-safe payment platform capable of processing all types of digital transactions, ranging from mobile money and bank transfers to blockchain-based and card payments through existing delivery channels on a decentralized infrastructure. The research synthesizes current developments in post-quantum cryptography (PQC), including lattice-based, hash-based, and code-based algorithms, and evaluates their suitability for real-time financial systems. The proposed platform incorporates a permissioned distributed ledger, API-level compatibility with legacy financial protocols, and an identity-governed, modular architecture that enables cryptographic agility and policy compliance. Through architectural modeling and critical analysis, this research provides a forward-looking blueprint for building quantum-resilient financial infrastructure. It concludes that while performance and governance hurdles remain, quantum-safe payment networks are both technically feasible and urgently necessary. This work aims to equip stakeholders, especially fintech firms, banks, and regulatory bodies, with a detailed roadmap for transitioning to secure, interoperable, and scalable payment systems in the quantum era.
In the contemporary digital era, secure payment systems are imperative for ensuring trust and reliability in financial transactions. Traditional cryptographic methods, once considered robust, face formidable challenges with the advent of quantum computing. In response, distributed ledger technology DLT has emerged as a promising paradigm for enhancing payment security. This study presents an in -depth analysis of the integration of quantum cryptography and artificial intelligence AI within distributed ledger technology DLT -based payment systems, aiming to enhance security against the evolving landscape of cyber threats. By examining specific vulnerabilities such as Sybil attacks, double -spending, and transaction manipulation, this research proposes a comprehensive framework of AI -driven countermeasures and mitigation strategies. Furthermore, the paper explores future research directions, emphasizing the critical role of quantum -resistant cryptographic techniques and AI in securing DLT payment infrastructures. The findings underscore the potential of combining quantum cryptography and AI to create resilient, secure payment solutions for the digital age.