Quantum Computing in Data Security
Sadullah Khan, Chintan Jain, Sudhir Kumar Rathi, Prakash Kumar Maravi, Arun Kumar Jhapate, Divyani Joshi · 2023
In many fields, such as data search from large data repositories, prime factorization, number theory, cybersecurity, polynomial evaluation, interpolation, machine learning, and artificial intelligence, highly intensive computing tasks are required. Quantum computing is an emerging technology that can perform these tasks. Any computational issue that can be resolved by a classical computer can also be resolved more effectively by a quantum computer. Out of all of these problem areas, network security is one where quantum computing is most directly related, with key management and distribution being its two main applications that are used in a variety of ways. The principles of quantum computing, as well as several key distribution strategies based on quantum computing, are briefly explained in this study. Moreover, this article focuses on computational engineering applications of quantum computing as well. Future dangers to data security and privacy have arisen as a result of the official announcement of “quantum supremacy” by Google. Future risks to all IT-dependent applications, including but not limited to smart cities, power distribution, and military applications, must be one of our main areas of focus (especially critical infrastructure). The study's goal is to raise public awareness of the present and foreseeable risks to data security and privacy posed by potential quantum applications. The article primarily demonstrates how PKI and its key exchange mechanism may be readily broken with the aid of quantum computers and also suggests a solution to make our key exchange protocol secure, utilizing QKD, which guarantees a secure key exchange between the sender and the intended recipient. The report also looks at potential areas for research observation that may be prioritized to guard against potential risks brought about by quantum development.