A new encryption scheme for performance improvement in big data environment using mapreduce

There are diverse methods and technologies adopted by authors studied to Keep up with the rapid progress of big data technology in securing big data in the field of cryptography, and that seeks to bring the latest innovative solutions to address the problems related to severe threats to the security of sensitive information on the big data environment. Currently, this area includes many standard encryption algorithms to cover the part of the protection of big data in a specific environment as those provided an excellent performance that contributed to the progress and development of this area. Yet, these methods still have some major limitation related to its performance, throughput, execution time, and many other. Such a move was as a starting point for researchers to work, develop, and try to come out with positive results. In this paper, we studied many of these works and raised with our cryptographic algorithm that meets the purpose. As a result, we overcome most of the weaknesses which the area was faced previously and come up with the best results. Besides, the proposed scheme ensures a high level of security where its performance analysis proves the effectiveness and superiority in comparison, which makes a fair balance between security, time-consuming, and performance. Moreover, we used a pre-configured programming model of MapReduce to apply the proposed and deal with large amounts of data and encrypt them in a parallel way that ensures a shorter processing time.