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Performance of RSA Algorithm Using Game Theory for Aadhaar Card

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Sentiment Analysis and Deep Learning

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1432))

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Abstract

Data security is ensured by the use of cryptography. Data security refers to the protection of data and privacy to prevent hackers from gaining unauthorized access to applications, computers, and data servers. Cryptography is a process of encrypting data and storing it in databases in a manner that anyone who gains access to it by accident is rendered useless. To encrypt and decrypt data, the RSA algorithm, the ECC algorithm, and other encryption methods are routinely employed. Game Theory—Rivest–Shamir–Adleman (GT-RSA) is a new hybrid algorithm that combines Game Theory and RSA to improve the efficiency of the RSA algorithm by altering the function. By improving the speed, throughput, avalanche effect, and power consumption performance of the GT-RSA algorithm, it is proposed. The performance of the GT-RSA algorithm has been enhanced, and experimental results have been shown.

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Correspondence to R. Felista Sugirtha Lizy .

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Felista Sugirtha Lizy, R., Joseph Raj, V. (2023). Performance of RSA Algorithm Using Game Theory for Aadhaar Card. In: Shakya, S., Du, KL., Ntalianis, K. (eds) Sentiment Analysis and Deep Learning. Advances in Intelligent Systems and Computing, vol 1432. Springer, Singapore. https://doi.org/10.1007/978-981-19-5443-6_7

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