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.
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 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.
In today’s online environment, a lot of data is created through online transactions and processing, and protecting this data can be difficult. When talking about security and privacy, it takes into account how resistant information and other transaction data is to threats and flaws. Online banking raises three key concerns: user identity, data confidentiality, and the medium or channel over which the information is conveyed. For this reason, the main focus of this study is on the security methods used in online banking that fall within the categories of classical and quantum cryptography in order to combat multiple attacks and problems that may arise when using the service. The study offers a conceptual model for client authentication using the one-time pad (OTP) idea in conjunction with quantum-safe channel technology to boost security and prevent reply attacks. To assess the performance and determine whether the proposed framework operationally feasible, quantum cryptography is being introduced. The performance and speed of financial transaction processing can be increased by combining quantum computing with traditional algorithms for fraud detection. In order to create a safe key exchange with the help of quantum cryptography, the proposed approach takes this into consideration and implements QKD and QRNG.
The rise of quantum computing poses significant threats to traditional cryptographic methods currently securing financial transactions. Quantum algorithms, such as Shor’s and Grover’s, have the potential to break widely used encryption systems like RSA and ECC, making financial data vulnerable to exploitation. This research explores the development and application of quantum cryptographic algorithms designed to secure financial transactions in the quantum computing era. Focusing on techniques such as Quantum Key Distribution (QKD), lattice-based cryptography, and hash-based signatures, the study examines how these methods can ensure the confidentiality and integrity of financial data. Practical applications, including quantum-safe payment gateways and blockchain integration, are analyzed to provide a comprehensive understanding of how financial systems can transition to quantum-resistant cryptography. Furthermore, challenges such as scalability, high implementation costs, and regulatory considerations are discussed. The paper highlights the urgent need for financial institutions to begin adopting quantum-resistant cryptography to safeguard future financial transactions.
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.
The advent of quantum computing presents unprecedented challenges to traditional cybersecurity measures, particularly in the realm of encryption.This paper explores the emerging field of quantum cryptography, which leverages the principles of quantum mechanics to develop advanced encryption methods that are inherently secure against the threats posed by quantum computing.By utilizing phenomena such as superposition and entanglement, quantum cryptography enables the creation of cryptographic keys that are provably secure, as any attempt to intercept or measure the quantum state of the key will result in detectable anomalies.The study examines various quantum cryptographic protocols, including Quantum Key Distribution (QKD) and post-quantum cryptography, highlighting their potential to safeguard sensitive data in various applications, from financial transactions to secure communications.Additionally, the paper discusses the implications of quantum cryptography for existing cybersecurity strategies, emphasizing the need for organizations to adapt to this rapidly evolving landscape.By addressing the challenges and opportunities presented by quantum technologies, this research aims to provide insights into the future of cybersecurity and the critical role quantum cryptography will play in protecting data integrity and privacy in an increasingly digital world.
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