Abstract : The financial sector faces escalating cybersecurity threats, exacerbated by the potential emergence of quantum computers capable of compromising widely used classical cryptographic methods. The paper includes an AI-enhanced general review on the use of quantum cryptography to secure financial transactions. Using machine learning methods to assess the principles, potential, and constraints to Quantum Key Distribution (QKD) and PostQuantum Cryptography (PQC), the review is an improvement of the existing view of the current state of quantumsafe technologies. The opportunities and challenges in adopting these technologies in the key financial services, such as banking, digital payments, and blockchain, are analyzed. It has been identified that a hybrid approach that utilizes both QKD to perform secure key exchange and PQC to protect data over the long term can be considered an effective strategy. The review ends by identifying the main future research opportunities and the necessity of standardized, cost-efficient, and scalable quantum security solutions, guided by AI-informed insights, to protect the financial sector against future quantum attacks.
Abstract : The financial sector faces escalating cybersecurity threats, exacerbated by the potential emergence of quantum computers capable of compromising widely used classical cryptographic methods. The paper includes an AI-enhanced general review on the use of quantum cryptography to secure financial transactions. Using machine learning methods to assess the principles, potential, and constraints to Quantum Key Distribution (QKD) and PostQuantum Cryptography (PQC), the review is an improvement of the existing view of the current state of quantumsafe technologies. The opportunities and challenges in adopting these technologies in the key financial services, such as banking, digital payments, and blockchain, are analyzed. It has been identified that a hybrid approach that utilizes both QKD to perform secure key exchange and PQC to protect data over the long term can be considered an effective strategy. The review ends by identifying the main future research opportunities and the necessity of standardized, cost-efficient, and scalable quantum security solutions, guided by AI-informed insights, to protect the financial sector against future quantum attacks.
The financial sector faces escalating cybersecurity threats, exacerbated by the potential emergence of quantum computers capable of compromising widely used classical cryptographic methods. The paper includes an AI-enhanced general review on the use of quantum cryptography to secure financial transactions. Using machine learning methods to assess the principles, potential, and constraints to Quantum Key Distribution (QKD) and PostQuantum Cryptography (PQC), the review is an improvement of the existing view of the current state of quantumsafe technologies. The opportunities and challenges in adopting these technologies in the key financial services, such as banking, digital payments, and blockchain, are analyzed. It has been identified that a hybrid approach that utilizes both QKD to perform secure key exchange and PQC to protect data over the long term can be considered an effective strategy. The review ends by identifying the main future research opportunities and the necessity of standardized, cost-efficient, and scalable quantum security solutions, guided by AI-informed insights, to protect the financial sector against future quantum attacks.
Purpose: The rapid advancement of quantum computing poses a significant threat to traditional cryptographic systems, potentially compromising the security of sensitive data in various sectors. This research aims to explore the necessity of quantum-resistant cryptography within the financial technology (fintech) sector, where data integrity and confidentiality are paramount. The study investigates the viability of quantum-resistant algorithms in mitigating risks associated with quantum attacks on fintech systems. Methodology: The research employs a mixed-methods approach, combining theoretical analysis with practical simulations and case studies. Key quantum-resistant algorithms are evaluated through simulations to assess their effectiveness and efficiency in real-world fintech scenarios. Additionally, comparative analyses with traditional cryptographic methods provide insights into the relative strengths and weaknesses of quantum-resistant techniques. Findings: The study finds that quantum-resistant cryptographic algorithms, such as lattice-based and hash-based cryptography, offer promising solutions for securing fintech applications against quantum threats. These algorithms demonstrate robust security features and practical feasibility for integration into existing fintech infrastructures. However, challenges related to implementation complexity and computational efficiency are identified. Implications: For the fintech industry, adopting quantum-resistant cryptography is crucial for futureproofing against emerging quantum computing threats. The findings suggest a need for continued research into optimizing these algorithms and developing standards for their deployment. Future research directions include exploring more efficient algorithms and investigating their application in other industries beyond fintech.
Many traditional encryption techniques commonly used in financial systems face serious threats from the rapid development of quantum computing. Quantum attacks based on Shor's and Grover's algorithm are effective against the RSA, and ECC methods that secure online banking, digital payments, and interbank communications. To mitigate on this increasing risk, this paper suggests hybrid cryptographic architecture based on symmetric encryption, post-quantum cryptography (PQC), and quantum key distribution (QKD) for secure financial transactions. The Quantum-resistant security significance comes because the financial models produce massive data sets for fraud detection and predictive risk. Not only does it offer the previously unreachable computational capabilities, but also utilizes the potentials of large-scale financial data analytics to make the decision-making process fast and well informed, and in this light, the present research recommends a hybrid cryptographic approach with an integrated security framework for the financial sector that combines symmetric encryption, post-quantum cryptography (PQC), and quantum key distribution (QKD). The proposed structure relies on (1) the quantum-resistance of PQC for resilience and authentication, (2) the information-theoretic security of QKD for key establishment, and (3) the efficacy of symmetric cryptography for protecting high-throughput transactions. The framework covers the short-term practical limitations and long-term quantum risks based on the combined use of quantum and conventional security primitives. This paper points out the role and transformation of digital financial ecosystem in the quantum era by elaborating challenges, opportunities and future of quantum cryptography in the banking industry.
The rise of quantum computing presents a profound shift in the cybersecurity landscape, particularly for the banking and finance sectors, where the protection of sensitive data is paramount. Traditional encryption methods are increasingly at risk of being compromised by the computational power of quantum machines, demanding the adoption of quantum-resistant technologies. This discussion delves into quantum key distribution (QKD) and post-quantum cryptographic algorithms, exploring their potential to secure financial transactions, protect customer information, and reinforce the integrity of banking networks. The application of these technologies offers new avenues for safeguarding data against quantum attacks while also addressing the challenges associated with integrating quantum security into existing infrastructures. The exploration also highlights the risks posed by quantum computers to current cryptographic systems and provides guidance on how financial institutions can transition to quantum-secure frameworks. By embracing these innovations, the banking and finance sectors can build resilience against future cyber threats in an era of quantum computing.
In the modern world, the financial sector faces a wide range of extraordinary events, from market shocks and geopolitical tensions to pandemics and cyberattacks. These diverse challenges significantly impact banks. Recently, particular attention has been drawn to the influence of artificial intelligence (AI) and quantum computing (QC) technologies on the stability of the financial system. This article analyzes the potential areas of impact of quantum technologies on the financial sphere in general and the resilience of financial institutions in particular.It's determined that quantum technologies can simultaneously pose both threats and new opportunities. Specifically, the article analyzes the potential of quantum technologies to break existing cryptographic algorithms that protect the confidential data of financial institutions' clients. This threat is exacerbated by the possibility of "harvest now, decrypt later" attacks, where malicious actors intercept data today with the intention of decrypting it in the future. This presents challenges and threats for online/mobile banking, payment operations, and corporate communications. Among the positive impacts of quantum technologies on banking, the article highlights improved financial risk assessment, particularly enhanced accuracy in stress testing, portfolio management, and derivatives pricing, by solving problems inaccessible to classical computing. The potential of quantum machine learning for fraud detection is also noted. Attention is given to the financial sector's response to these challenges. Initiatives for developing quantum-resistant (post-quantum) cryptography are considered as the primary method for mitigating the risks associated with the proliferation of quantum computing, along with new cryptographic protocols and quantum key distribution as a new opportunity to enhance security. The article emphasizes the responsibility of central banks in forming quantum-readiness strategies, including investments in post-quantum cryptography, expertise development, and the adaptation of regulatory frameworks. The conclusion drawn is that although the immediate benefits of quantum technologies may be modest, their long-term transformative potential for the financial sector is immense.
The emergence of quantum technology is changing the concept of financial security, and the privacy of transactions, authentication and long-term safety of information are becoming exposed. With the ubiquity of quantum-enabled devices and digital currencies in trading and payment systems, the current cryptographic mechanisms are at risk in the quantum age because attackers can exploit the "harvest now, decrypt-later" strategy on long-lived financial records. The present article critically reviews the hybrid cryptographic innovations for securing financial transactions aiming to integrate classical methods with Quantum Key Distribution (QKD), Post-Quantum Cryptography (PQC), and hybrid designs. We can extract actionable information with precise criteria of comparison (the security assumptions, the maturity of deployment, the scalability, the complexity of the legacy integration, the cost drivers, and the effects on the performance/latency). We describe typical obstacles in our analysis, including the cost of deployment, scalability of the special infrastructure, and the limitations in the case of the migration of old systems in controlled settings, and discover evidence-based mitigation approaches that facilitate a step-by-step process. The review provides a decision lens systematically and the gaps in the research to allow the transition to quantum-safe finance.