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Hybrid encryption algorithm for big data security in the Hadoop distributed file system

Mohanraj T., Santhosh R.

Computer Assisted Methods in Engineering and Science

2022

Vol. 29, no. 1-2 spec.

33--48

A large amount of structured and unstructured data is collectively termed big data. Therecent technological development streamlined several companies to handle massive dataand interpret future trends and requirements. The Hadoop distributed file system (HDFS)is an application introduced for efficient big data processing. However, HDFS does not have built-in data encryption methodologies, which leads to serious security threats. Encryption algorithms are introduced to enhance data security; however, conventional algorithmslag in performance while handling larger files. This research aims to secure big data usinga novel hybrid encryption algorithm combining cipher-text policy attribute-based encryption (CP-ABE) and advanced encryption standard (AES) algorithms. The performanceof the proposed model is compared with traditional encryption algorithms such as DES, 3DES, and Blowfish to validate superior performance in terms of throughput, encryptiontime, decryption time, and efficiency. Maximum efficiency of 96.5% with 7.12 min encryption time and 6.51 min decryption time of the proposed model outperforms conventionalencryption algorithms.