Problem Statement
The fast development of quantum computing technology brings a profound challenge to traditional information system security primarily based on encryption (Nyári, 2021). The encryption methods existing in conventional forms and based on the complexity of prime factorization and the logarithmic solutions may be susceptible to quantum computers. Quantum computer technologies resulting from Shor’s algorithm may present mathematical problems to encryption systems, making even the most advanced encryption systems obsolete. Through this paper, we will perform a comprehensive analysis of the influence of quantum computing on information system security and outline the shortcomings of traditional encryption technologies that do not protect against quantum computation.
Importance of the Study
This research is crucial because it is one of the quantum computing security challenges caused by the advancements. The rise of digital infrastructures among organizations to store and transfer sensitive information has led to a significant need for data confidentiality and integrity (Tarek & Hafid, 2021). On the bright side, quantum computing tends to break traditional encryption algorithms, which is potentially bad for criminals who can easily misuse confidential information. Therefore, our study will analyze in detail how quantum computing would be an asset to information system security, providing an overview of the emerging threat landscape and eventually taking preventive measures to manage risks and protect classified information assets. Besides, since quantum computing is developing rapidly, any security problem must be proactively addressed. Through the delay of the work to be completed on the level of understanding and preparedness for the consequences of quantum computing on information system security, organizations will be making themselves a high-risk target for cyber adversaries.
Goals of the Study
This study sets out to achieve several interrelated goals to address the challenges posed by quantum computing to information system security. Primarily, it aims to understand quantum computing principles and quantum algorithm capabilities that could be used to break current encryption methods. The study uses empirical analysis to point out the generic flaws in the most popular encryption algorithms that make them especially vulnerable to quantum computing attacks. Furthermore, the study will investigate the possibility of mitigation measures, exempli gratia, post-quantum cryptography algorithms, or quantum-resistant encryption techniques, which could offer sturdy protection against quantum-enhanced attacks. The study will precisely expose the weaknesses of the existing encryption methods and proactively offer solutions so that we can contribute to creating secure information security systems that can confront the quantum computing disruption.
Furthermore, this research is intended not only to identify weaknesses and ways to mitigate them but also to increase awareness of the criticality and the need to take immediate steps toward the security issue of quantum computing solutions. This study makes everyone aware of the risks quantum computing may pose to information system security so that the cyberspace community can take up the baton and develop solutions. It aims to create a platform for experts, theorists, and politicians to cooperate and develop robust algorithms and policies that can withstand the threats of quantum computing-enabled attacks. Moreover, the study aims to attain this through proactive engagement and knowledge-sharing to build a more resilient and secure digital environment ready to ward off the disruptive effect of quantum computing technology.
.References
Nyári, N. (2021). The impact of quantum computing on IT security. Biztonságtudományi Szemle, 3(4), 25-37.https://biztonsagtudomanyi.szemle.uni-obuda.hu/index.php/home/article/download/184/163
Tarek, N., & Hafid, B. A. (2021, September). The Quantum Computer and the Security of Information Systems. In 2021 International Conference on Recent Advances in Mathematics and Informatics (ICRAMI) (pp. 1-9). IEEE.https://ieeexplore.ieee.org/abstract/document/9585929
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