Abstract
Data encryption is growing fast and has become famous when they merge the basic schemes into difficult schemes. Various data encryption techniques introduce the distinct methods like big data, networks, and web. The important hindrance forms for accessing are to give security and competency to reflex data encryption methods. The manuscript recommends estimating data encryption framework that merges with quantum cryptography and adds a fine-grained control access policy to our proposed method where the authorization valid for every single entry reaches our aim of optimizing the performance on sharing secret key for data encryption or data decryption. Finally, our proposed method gives secure data sharing with heterogeneous cloud service providers.
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Acknowledgements
The author would like to thank the team members who helped to do the research and write this manuscript. Lastly, the author would like to thank the Vardhaman College of Engineering for giving this opportunity to publish our manuscript.
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Chennam, K.K., Aluvalu, R., Uma Maheswari, V. (2021). Data Encryption on Cloud Database Using Quantum Computing for Key Distribution. In: Swain, D., Pattnaik, P.K., Athawale, T. (eds) Machine Learning and Information Processing. Advances in Intelligent Systems and Computing, vol 1311. Springer, Singapore. https://doi.org/10.1007/978-981-33-4859-2_30
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DOI: https://doi.org/10.1007/978-981-33-4859-2_30
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