Enhancing the Cloud Security through RC6 and 3DES Algorithms while Achieving Low-Cost Encryption

Enhancing the Cloud Security through RC6 and 3DES Algorithms while Achieving Low-Cost Encryption

Автор: Chandra Shekhar Tiwari, Vijay Kumar Jha

Журнал: International Journal of Wireless and Microwave Technologies @ijwmt

Статья в выпуске: 5 Vol.13, 2023 года.

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Cloud computing is a cutting-edge system that's widely considered the future of data processing, making cloud computing one of the widely used platforms worldwide. Cloud computing raises problems around privacy, security, anonymity, and availability. Because of this, it is crucial that all data transfers be encrypted. The overwhelming majority of files stored on the cloud are of little to no significance while the data of certain users may be crucial. To solve the problems around security, privacy, anonymity, and availability, so we propose a novel method for protecting the confidentiality and security of data while it is being processed by a cloud platform. The primary objective of this study is to enhance the cloud security with RC6 and 3DES algorithms while attained low cost encryption, and explore variety of information safety strategies. Inside the proposed system, RC6 and 3DES algorithms have been used to enhance data security and privacy. The 3DES has been used to data with a high level of sensitivity to encrypt the key of RC6 and this method is significant improve over the status quo since it increases data security while reduce the amount of time needed for sending and receiving data. Consequently, several metrics, such as encryption time, false positive rate, and P-value, have been determined by analyzing the data. According to the findings, the suggested system attained less encryption time in different file size by securely encrypting data in a short amount of time and it gives outperformance as compared to other methods.

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Cloud computing, machine learning, cryptography, encryption, Random Forest, 3DES, RC6

Короткий адрес: https://sciup.org/15019231

IDR: 15019231   |   DOI: 10.5815/ijwmt.2023.05.05

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