Assessing the Impact of Quantum Computing on Data Encryption Practices and Information Security
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Encryption of data is a cornerstone of information security with confidentiality, integrity, and availability of sensitive information. However, the advent of quantum computing (QC) adds complexity to the classical encryption mechanisms by threatening their quantum resilience. This work looks into incorporating QC into cryptographic schemes through the evolution of an Elliptic Quantum Cryptosystem (EQC), fusing elliptic curve cryptography (ECC) and quantum annealing. The objective is to offer protection against attacks in conventional cryptographic schemes and enhance quantum attack resistance. Quantum annealing maximizes encryption through quantum fluctuations to locate best solutions, resulting in higher efficiency and reliability. The research examines top performance measures, including encryption time, decryption time, bit error rate (BER), computational efficiency, level of security, and scalability. Experimental results confirm that the proposed EQC technique has improved performance compared to existing approaches. Specifically, it takes 35 ms encryption time, 40 ms decryption time, 0.0005% BER, 80 seconds computational complexity, 9 level of security, and graded scalability as 8. These outcomes confirm the efficiency of the approach in enhancing encryption security and adaptability against quantum attacks. The problem addressed is the vulnerability of classical encryption systems to quantum advancements. By the addition of quantum-safe procedures, EQC provides a safe alternative, ensuring data confidentiality and integrity during the era of quantum. Disadvantages are the challenge in using quantum annealing and scalability problems for larger datasets. Future researches need to focus on the optimization of quantum approaches, addressing scalability issues, and studying real-world applications to ensure the generalizability of this new approach.
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[1] R. Azhari and A. N. Salsabila, "Analyzing the impact of quantum computing on current encryption techniques," IAIC Transactions on Sustainable Digital Innovation (ITSDI) , vol. 5, no. 2, pp. 148–157, 2024.
[2] N. Nyári, "The impact of quantum computing on IT security," Biztonságtudományi Szemle , vol. 3, no. 4, pp. 25–37, 2021.
[3] Y. Baseri, V. Chouhan, and A. Ghorbani, "Cybersecurity in the quantum era: Assessing the impact of quantum computing on infrastructure," arXiv preprint arXiv:2404.10659 , 2024.
[4] B. Arslan, M. Ulker, S. Akleylek, and S. Sagiroglu, "A study on the use of quantum computers, risk assessment and security problems," in 2018 6th International Symposium on Digital Forensic and Security (ISDFS) , Antalya, Turkey, Mar. 2018, pp. 1–6.
[5] E. O. Sodiya, U. J. Umoga, O. O. Amoo, and A. Atadoga, “Quantum computing and its potential impact on US cybersecurity: A review: Scrutinizing the challenges and opportunities presented by quantum technologies in safeguarding digital assets,” Glob. J. Eng. Technol. Adv., vol. 18, no. 2, pp. 049–064, 2024.
[6] M. Möller and C. Vuik, "On the impact of quantum computing technology on future developments in high-performance scientific computing," Ethics and Information Technology , vol. 19, pp. 253–269, 2017.
[7] Y. Baseri, V. Chouhan, A. Ghorbani, and A. Chow, "Evaluation framework for quantum security risk assessment: A comprehensive study for quantum-safe migration," arXiv preprint arXiv:2404.08231 , 2024.
[8] U. Awan, L. Hannola, A. Tandon, R. K. Goyal, and A. Dhir, "Quantum computing challenges in the software industry: A fuzzy AHP-based approach," Information and Software Technology , vol. 147, p. 106896, 2022.
[9] T. L. Scholten et al., "Assessing the benefits and risks of quantum computers," arXiv preprint arXiv:2401.16317 , 2024.
[10] O. A. Ajala, C. A. Arinze, O. C. Ofodile, C. C. Okoye, and A. I. Daraojimba, “Exploring and reviewing the potential of quantum computing in enhancing cybersecurity encryption methods,” Magna Sci. Adv. Res. Rev., vol. 10, no. 1, pp. 321–329, 2024.
[11] N. Kilber, D. Kaestle, and S. Wagner, "Cybersecurity for quantum computing," arXiv preprint arXiv:2110.14701 , 2021.
[12] M. Sharma, V. Choudhary, R. S. Bhatia, S. Malik, A. Raina, and H. Khandelwal, "Leveraging the power of quantum computing for breaking RSA encryption," Cyber-Physical Systems , vol. 7, no. 2, pp. 73–92, 2021.
[13] G. N. Brijwani, P. E. Ajmire, and P. V. Thawani, "Future of quantum computing in cybersecurity," in Handbook of Research on Quantum Computing for Smart Environments , IGI Global, 2023, pp. 267–298.
[14] J. B. P. Glady et al., "Strengthening implementation security for quantum cryptography in the era of quantum computing by bridging theory and practice," in 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM) , Chennai, India, Apr. 2024, pp. 1–6.
[15] R. A. Jowarder and S. Jahan, “Quantum computing in cyber security: Emerging threats, mitigation strategies, and future implications for data protection,” World J. Adv. Eng. Technol. Sci., vol. 13, no. 1, pp. 330–339, 2024.
[16] S. E. V. S. Pillai and K. Polimetla, "Analyzing the impact of quantum cryptography on network security," in 2024 International Conference on Integrated Circuits and Communication Systems (ICICACS) , Bengaluru, India, Feb. 2024, pp. 1–6.
[17] U. Ghosh, D. Das, and P. Chatterjee, "A comprehensive tutorial on cybersecurity in quantum computing paradigm," Authorea Preprints , 2023.
[18] A. Ahmad, A. B. Altamimi, and J. Aqib, "A reference architecture for quantum computing as a service," Journal of King Saud University-Computer and Information Sciences , p. 102094, 2024.
[19] "Hospital dataset for practice," Kaggle . [Online]. Available: https://www.kaggle.com/datasets/blueblushed/hospital-dataset-for-practice . [Accessed: Nov. 18, 2024].
[20] M. M. Abdulrahman and Y. Niu, "Multi-objective evolutionary algorithm with decomposition for enhanced community detection in signed networks," KHWARIZMIA , vol. 2023, pp. 1–17, Feb. 2023.
[21] Y. Niu, A. Vugar, H. Wang, and Z. Jia, "Optimization of energy-efficient algorithms for real-time data administering in wireless sensor networks for precision agriculture," KHWARIZMIA , vol. 2023, pp. 1–14, Mar. 2023.
[22] I. I. Al Barazanchi and W. Hashim, "Enhancing IoT device security through blockchain technology: A decentralized approach," SHIFRA , pp. 1–8, 2023. doi: 10.70470/SHIFRA/2023/002.
[23] M. Burhanuddin, "Assessing the vulnerability of quantum cryptography systems to emerging cyber threats," SHIFRA , pp. 1–8, 2023. doi: 10.70470/SHIFRA/2023/004.
[24] A. Aljohani, "Zero-trust architecture: Implementing and evaluating security measures in modern enterprise networks," SHIFRA , pp. 1–13, 2023. doi: 10.70470/SHIFRA/2023/008.
[25] W. Hashim and N. A.-H. K. Hussein, "Securing cloud computing environments: An analysis of multi-tenancy vulnerabilities and countermeasures," SHIFRA , pp. 9–17, 2024. doi: 10.70470/SHIFRA/2024/002.
[26] A. B. Alnajjar, A. M. Kadim, R. A. Jaber, N. A. Hasan, E. Q. Ahmed, and M. S. M. Altaei, "Wireless sensor network optimization using genetic algorithm," Journal of Robotics and Control (JRC), vol. 3, no. 6, pp. 827–835, 2022.
[27] A. M. Kadim, F. S. Al-Mukhtar, N. A. Hasan, and A. B. Alnajjar, "K-Means clustering of optimized wireless network sensor using genetic algorithm," Periodicals of Engineering and Natural Sciences, vol. 10, no. 3, 2022.
[28] N. A. Hassan, F. S. Al-Mukhtar, and E. H. Ali, "Encrypt audio file using speech audio file as a key," in IOP Conference Series: Materials Science and Engineering, vol. 928, no. 3, 2020.
[29] S. B. Sadkhan, S. K. Thamer, and N. A. Hassan, "Fuzzy based pseudo random number generator used for wireless networks," Journal of Al-Nahrain University Science, vol. 16, 2013.
[30] N. A. Hassan, S. Latef, and B. N. Dhannoon, "Color image encryption using random password seed and linear feedback shift register," Journal of Al-Nahrain University - Science, vol. 14, no. 1, pp. 186–192, 2011.