Performance Analysis Of AES And DESede On The Sensitive Data Stored In HDFS
Anju Kaushik, Vinod K. Srivastava · 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN) · 2020
Hadoop is a distributed framework for storing and analyzing big data. Organizations store their sensitive information on HDFS and use MapReduce to analyze the data. Therefore, data encryption is used widely to prevent the leakage of sensitive data. In our paper we have compared two widely used data encryption algorithms AES and DESede on the sensitive information stored in HDFS. The comparison of two algorithms is done by considering factors like data size, decryption time and encryption time. Different file sizes are taken and some experimental studies are performed to validate the capabilities.