Improving Encryption Performance Using MapReduce

The advanced and readily available cloud infrastructure has resulted in significantly increased offloading of data to the cloud. In fact, many users have become completely reliant on cloud service providers without regard to the safety of their data. Encryption, the foundation of data protection for reliable and secure cloud environments comes at a high cost as data size increases, presenting an obstacle to provision of big data security. This paper proposes a framework to reduce encryption costs through MapReduce, which can boost parallel processing and parameter tuning. By using MapReduce, encryption performance is enhanced in terms of execution time with minimal usage of system resources. Our experiments demonstrate the performance benefits realized through MapReduce-based parallel encryption computation.