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A Hybrid Intelligent Cryptography Algorithm for Distributed Big Data Storage in Cloud Computing Security

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Multi-disciplinary Trends in Artificial Intelligence (MIWAI 2023)

Abstract

Present Cloud computing is the most adaptable and popular technology. Through the services, customer gets efficiency, competence and quickness etc. in their work. Large data centers are available in the cloud to process the large volume of data. Cloud Computing (CC) is used by businesses to manage their large information load. It is becoming increasingly popular for organizations to store their data in the cloud, which provides reliable access from anywhere. Because numerous customers use the same cloud, data security is the primary issue with cloud computing. Security in cloud computing is a subject of current research issues. Hence in order to solve these issues, a hybrid intelligent cryptography algorithm for distributed big data storage in cloud computing security is presented. The RSA (Rivest-Shamir-Adleman) asymmetric algorithm covers authentication, whereas the Blowfish symmetric algorithm manages data confidentiality. Both symmetric and asymmetric cryptographic techniques have been used in the creation and construction of this hybrid cryptosystem. The experimental evaluations demonstrate that approach successfully protects the system and requires a reasonable amount of time to implement. Both security and efficiency performance will be evaluated during in the experimental results.

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Correspondence to P. T. Satyanarayana Murty .

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Satyanarayana Murty, P.T., Prasad, M., Raja Rao, P.B.V., Kiran Sree, P., Ramesh Babu, G., Phaneendra Varma, C. (2023). A Hybrid Intelligent Cryptography Algorithm for Distributed Big Data Storage in Cloud Computing Security. In: Morusupalli, R., Dandibhotla, T.S., Atluri, V.V., Windridge, D., Lingras, P., Komati, V.R. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2023. Lecture Notes in Computer Science(), vol 14078. Springer, Cham. https://doi.org/10.1007/978-3-031-36402-0_59

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  • DOI: https://doi.org/10.1007/978-3-031-36402-0_59

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-36402-0

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