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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 6, 2023.
Abstract: Network security has gained importance in recent years. Information system security is greatly aided by the development of encryption as a solution. To safeguard the shared information, several strategies are required. Thanks to the cutting-edge Internet, networking corporations, health information, and cloud applications, our data is growing exponentially every minute. In order to handle enormous amounts of data efficiently, a new application called Hadoop distributed file system (HDFS) was created. However, HDFS doesn’t come with any built-in data encryption tools, which poses serious security risks. In order to increase data security, encryption techniques are established; nevertheless, standard algorithms fall short when dealing with bigger files. In this study, huge data will be secured using a novel hybrid encryption algorithm that combines CP-ABE (encryption based on the features of the encryption policy), AES (advanced standard encryption), and RSA (Rivest-Shamir-Adleman). The suggested model’s performance is compared against that of traditional encryption algorithms like DES, 3DES, and Blowfish in order to demonstrate improved performance as it relates to decryption time, encryption time, and throughput. The results of the studies demonstrate that our suggested method’s algorithm is more secure.
Youness Filaly, Fatna El mendili, Nisrine Berros and Younes El Bouzekri EL idrissi, “Hybrid Encryption Algorithm for Information Security in Hadoop” International Journal of Advanced Computer Science and Applications(IJACSA), 14(6), 2023. http://dx.doi.org/10.14569/IJACSA.2023.01406137
@article{Filaly2023,
title = {Hybrid Encryption Algorithm for Information Security in Hadoop},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.01406137},
url = {http://dx.doi.org/10.14569/IJACSA.2023.01406137},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {6},
author = {Youness Filaly and Fatna El mendili and Nisrine Berros and Younes El Bouzekri EL idrissi}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.