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Financial Data, QKD Protocol, Quantum Cryptograph
Abstract
The background of this research focuses on the security challenges of financial data in the era of quantum computing, which can threaten traditional encryption systems. With the advancement of quantum computing technology, quantum cryptography is considered a potential solution to protect sensitive data from more sophisticated eavesdropping threats. The purpose of this study is to evaluate the effectiveness of the quantum key distribution protocol (QKD) in securing financial data and analyze its advantages and disadvantages in this context. The method used is a performance simulation of the three main QKD protocols (BB84, E91, and B92) to measure key delivery time, security level, and computing resource usage. The results show that the E91 protocol offers a higher level of security than BB84 and B92, although it requires longer delivery times and more resources. The conclusion of this study emphasizes that although quantum cryptography has great potential for securing financial data, its practical application still faces various challenges, especially in terms of efficiency and necessary resources. Further research is needed to optimize these protocols and overcome technical and cost barriers to implementation on a financial industry scale.
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References
Abushgra, A. A. (2022). Variations of QKD Protocols Based on Conventional System Measurements: A Literature Review. Cryptography, 6(1). https://doi.org/10.3390/cryptography6010012
Adhikari, T. (2021). Quantum Resistance for Cryptographic Keys in Classical Cryptosystems: A Study on QKD Protocols. 2021 12th International Conference on Computing Communication and Networking Technologies, ICCCNT 2021, Query date: 2024-12-07 09:01:28. https://doi.org/10.1109/ICCCNT51525.2021.9579624
Ahn, J. (2022). Toward Quantum Secured Distributed Energy Resources: Adoption of Post-Quantum Cryptography (PQC) and Quantum Key Distribution (QKD). Energies, 15(3). https://doi.org/10.3390/en15030714
Alegria, A. V. (2022). Method of Quantitative Analysis of Cybersecurity Risks Focused on Data Security in Financial Institutions. Iberian Conference on Information Systems and Technologies, CISTI, 2022(Query date: 2024-12-07 09:01:05). https://doi.org/10.23919/CISTI54924.2022.9820198
Alshaer, N. (2021). Reliability and Security Analysis of an Entanglement-Based QKD Protocol in a Dynamic Ground-to-UAV FSO Communications System. IEEE Access, 9(Query date: 2024-12-07 09:01:28), 168052–168067. https://doi.org/10.1109/ACCESS.2021.3137357
Amellal, H. (2023). Quantum Man-in-the-Middle Attacks on QKD Protocols: Proposal of a Novel Attack Strategy. Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023, Query date: 2024-12-07 09:01:28, 513–519. https://doi.org/10.1109/IC3I59117.2023.10397711
Attema, T. (2021). Optimizing the decoy-state BB84 QKD protocol parameters. Quantum Information Processing, 20(4). https://doi.org/10.1007/s11128-021-03078-0
Badhwar, R. (2021). The CISO’s Next Frontier: AI, Post-Quantum Cryptography and Advanced Security Paradigms. In The CISO’s Next Frontier: AI, Post-Quantum Cryptography and Advanced Security Paradigms (p. 387). https://doi.org/10.1007/978-3-030-75354-2
Barker, T. H. (2022). Revising the JBI quantitative critical appraisal tools to improve their applicability: An overview of methods and the development process. JBI Evidence Synthesis, 21(3), 478–493. https://doi.org/10.11124/JBIES-22-00125
Cintas-Canto, A. (2023). Reliable Architectures for Finite Field Multipliers Using Cyclic Codes on FPGA Utilized in Classic and Post-Quantum Cryptography. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 31(1), 157–161. https://doi.org/10.1109/TVLSI.2022.3224357
Dhar, S. (2024). Securing IoT devices: A novel approach using blockchain and quantum cryptography. Internet of Things (Netherlands), 25(Query date: 2024-12-07 09:00:33). https://doi.org/10.1016/j.iot.2023.101019
Djaouida, B. (2024). Theoretical and simulation investigation of practical QKD for both BB84 and SARG04 protocols. International Journal of Quantum Information, 22(4). https://doi.org/10.1142/S0219749923500508
Djordjevic, I. B. (2021). QKD-Enhanced Cybersecurity Protocols. IEEE Photonics Journal, 13(2). https://doi.org/10.1109/JPHOT.2021.3069510
Feng, C. (2024). How Does Financial Development Affect Global Energy Security? A Functional Data Analysis. Emerging Markets Finance and Trade, 60(7), 1484–1497. https://doi.org/10.1080/1540496X.2023.2278650
Goettenauer, C. (2021). The Brazilian financial system, cyber security policy and personal data protection: A polycentric regulation approach. Revista de Direito, Estado e Telecomunicacoes, 12(2), 172–186. https://doi.org/10.26512/lstr.v12i2.34716
Hou, P. (2023). Technology and practice of intelligent governance for financial data security. Chinese Journal of Network and Information Security, 9(3), 174–187. https://doi.org/10.11959/j.issn.2096-109x.2023048
Hu, T. (2021). Movable oil content evaluation of lacustrine organic-rich shales: Methods and a novel quantitative evaluation model. Earth-Science Reviews, 214(Query date: 2024-12-01 09:57:11). https://doi.org/10.1016/j.earscirev.2021.103545
Huamán, C. H. O. (2022). Critical Data Security Model: Gap Security Identification and Risk Analysis In Financial Sector. Iberian Conference on Information Systems and Technologies, CISTI, 2022(Query date: 2024-12-07 09:01:05). https://doi.org/10.23919/CISTI54924.2022.9820547
Joseph, D. (2022). Transitioning organizations to post-quantum cryptography. Nature, 605(7909), 237–243. https://doi.org/10.1038/s41586-022-04623-2
Kavuri, R. (2023). Quantum Cryptography with an Emphasis on the Security Analysis of QKD Protocols. Evolution and Applications of Quantum Computing, Query date: 2024-12-07 09:01:28, 265–288. https://doi.org/10.1002/9781119905172.ch16
Kumar, A. (2021). State-of-the-Art Survey of Quantum Cryptography. Archives of Computational Methods in Engineering, 28(5), 3831–3868. https://doi.org/10.1007/s11831-021-09561-2
Lin, H. J. (2022). How financial technology (fintech) can improve the business performance of securities firms by using the dynamic data envelopment analysis modified model. Managerial and Decision Economics, 43(4), 1113–1132. https://doi.org/10.1002/mde.3443
Liu, S. (2024). Analysis of Financial Data Risk and Network Information Security by Blockchain Technology and Edge Computing. IEEE Transactions on Engineering Management, 71(Query date: 2024-12-07 09:01:05), 12579–12592. https://doi.org/10.1109/TEM.2022.3224290
McFadden, D. (2021). Quantitative methods for analysing travel behaviour ofindividuals: Some recent developments. Behavioural Travel Modelling, Query date: 2024-12-01 09:57:11, 279–318.
Mehrnezhad, M. (2023). My sex-related data is more sensitive than my financial data and I want the same level of security and privacy": User Risk Perceptions and Protective Actions in Female-oriented Technologies. ACM International Conference Proceeding Series, Query date: 2024-12-07 09:01:05, 1–14. https://doi.org/10.1145/3617072.3617100
Nannipieri, P. (2021). A RISC-V Post Quantum Cryptography Instruction Set Extension for Number Theoretic Transform to Speed-Up CRYSTALS Algorithms. IEEE Access, 9(Query date: 2024-12-07 09:00:33), 150798–150808. https://doi.org/10.1109/ACCESS.2021.3126208
Nooraie, R. Y. (2020). Social Network Analysis: An Example of Fusion Between Quantitative and Qualitative Methods. Journal of Mixed Methods Research, 14(1), 110–124. https://doi.org/10.1177/1558689818804060
Papapanos, C. (2021). Studies on the readability and on the detection rate in a Mach–Zehnder interferometer-based implementation for high-rate, long-distance QKD protocols. European Physical Journal D, 75(3). https://doi.org/10.1140/epjd/s10053-021-00078-8
Portmann, C. (2022). Security in quantum cryptography. Reviews of Modern Physics, 94(2). https://doi.org/10.1103/RevModPhys.94.025008
Razavi, H. (2023). Quantifying the Financial Impact of Cyber Security Attacks on Banks: A Big Data Analytics Approach. Canadian Conference on Electrical and Computer Engineering, 2023(Query date: 2024-12-07 09:01:05), 533–538. https://doi.org/10.1109/CCECE58730.2023.10288963
Ribezzo, D. (2023). QKD protocol over 100 km long submarine optical fiber assisted by a system-in-package fast-gated InGaAs single photon detector. 2023 Optical Fiber Communications Conference and Exhibition, OFC 2023 - Proceedings, Query date: 2024-12-07 09:01:28. https://doi.org/10.23919/OFC49934.2023.10116699
Sheeba, T. B. (2023). Digital Hash Data Encryption for IoT Financial Transactions using Blockchain Security in the Cloud. International Journal on Recent and Innovation Trends in Computing and Communication, 11(Query date: 2024-12-07 09:01:05), 129–134. https://doi.org/10.17762/ijritcc.v11i4s.6316
Sudharson, K. (2022). Security Protocol Function Using Quantum Elliptic Curve Cryptography Algorithm. Intelligent Automation and Soft Computing, 34(3), 1769–1784. https://doi.org/10.32604/iasc.2022.026483
Wang, C. (2021). Quantum secure direct communication: Intersection of communication and cryptography. Fundamental Research, 1(1), 91–92. https://doi.org/10.1016/j.fmre.2021.01.002
Wang, Y. (2022). Internet Financial Data Security and Economic Risk Prevention for Android Application Privacy Leakage Detection. Computational Intelligence and Neuroscience, 2022(Query date: 2024-12-07 09:01:05). https://doi.org/10.1155/2022/6782281
Warikandwa, T. V. (2021). Personal data security in south africa’s financial services market: The protection of personal information act 4 of 2013 and the european union general data protection regulation compared. Potchefstroom Electronic Law Journal, 24(Query date: 2024-12-07 09:01:05). https://doi.org/10.17159/1727-3781/2021/v24i0a10727
Yue, F. (2022). Effects of monosaccharide composition on quantitative analysis of total sugar content by phenol-sulfuric acid method. Frontiers in Nutrition, 9(Query date: 2024-12-01 09:57:11). https://doi.org/10.3389/fnut.2022.963318
Zeydan, E. (2022). Recent Advances in Post-Quantum Cryptography for Networks: A Survey. Proceedings of the 2022 7th International Conference on Mobile and Secure Services, MobiSecServ 2022, Query date: 2024-12-07 09:00:33. https://doi.org/10.1109/MobiSecServ50855.2022.9727214
Zhong, R. (2022). Research on Enterprise Financial Accounting Information Security Model Based on Big Data. Wireless Communications and Mobile Computing, 2022(Query date: 2024-12-07 09:01:05). https://doi.org/10.1155/2022/7929846
Zhu, Y. (2022). A 28nm 48KOPS 3.4J/Op Agile Crypto-Processor for Post-Quantum Cryptography on Multi-Mathematical Problems. Digest of Technical Papers - IEEE International Solid-State Circuits Conference, 2022(Query date: 2024-12-07 09:00:33), 514–516. https://doi.org/10.1109/ISSCC42614.2022.9731783
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Copyright (c) 2024 Sarah Williams, David Martin, Jessica Green
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