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CryptoGA: a cryptosystem based on genetic algorithm for cloud data security

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Abstract

Cloud Computing is referred to as a set of hardware and software that are being combined to deliver various services of computing. The cloud keeps the services for delivery of software, infrastructure, and platform over the Internet based on the user’s demand. In the IT industry, cloud computing plays an important role to access services anywhere in the world. With increasing demand and popularity of cloud computing, several types of threats and vulnerabilities are also increased. Data integrity and privacy are the key issues in cloud computing and are thoughtful as the data is stored in different geographical locations. Therefore, data integrity and privacy protection provisions are the most prominent factors of user’s concerns about the cloud computing environment. In this paper, a new model based on a genetic algorithm (GA) CryptoGA is proposed to cope with data integrity and privacy issues. GA is used to generate keys for encryption and decryption which are integrated with a cryptographic algorithm to ensure privacy and integrity of cloud data. Known and common parameters i.e. execution time, throughput, key size, and avalanche effect are considered for evaluation and comparison. Ten different datasets are used in experiments for testing and validation. Experimental results analysis show that the proposed model ensures the integrity and preserves the privacy of the user’s data against unauthorized parties. Moreover, the CryptoGA is robust and provides better performance on selected parameters as compared to state-of-the-art cryptographic algorithms i.e. DES, 3DES, RSA, Blowfish, and AES.

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  1. COMSATS Institute of Information Technology - Attock, Attock, Pakistan

    Muhammad Tahir, Muhammad Sardaraz, Zahid Mehmood & Shakoor Muhammad

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  1. Muhammad Tahir
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Tahir, M., Sardaraz, M., Mehmood, Z. et al. CryptoGA: a cryptosystem based on genetic algorithm for cloud data security. Cluster Comput 24, 739–752 (2021). https://doi.org/10.1007/s10586-020-03157-4

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