International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 177 - Number 40 |
Year of Publication: 2020 |
Authors: Daniel Commey, Selorm Griffith Klogo, James Dzisi Gadze |
10.5120/ijca2020919897 |
Daniel Commey, Selorm Griffith Klogo, James Dzisi Gadze . Performance comparison of 3DES, AES, Blowfish and RSA for Dataset Classification and Encryption in Cloud Data Storage. International Journal of Computer Applications. 177, 40 ( Feb 2020), 17-22. DOI=10.5120/ijca2020919897
Cloud data storage are logical pools containing physical storages on multiple servers in different locations. All over the world, organizations and individuals are leveraging the storage of their confidential data to cloud data storages to reduce cost and enjoy the numerous benefits the cloud has to offer. Nonetheless, there are several security risks associated with outsourcing data to cloud data storages and the most concerning among these risks is the breach of data confidentiality. Data confidentiality is crucial in cloud data storages as the impact risk of a data breach can be catastrophic. Encryption is the best way to ensure data confidentiality and that, data is protected from unauthorized disclosure. The two most important features of encryption algorithms are the guarantee of security without any vulnerabilities (strength of encryption) and the efficiency (performance) of the algorithm. This paper presents a survey of popular encryption algorithms (Triple DES, AES, Blowfish and RSA) and their performance comparison report by simulating the selected encryption algorithms with a classification framework.