Publication Type : Conference Proceedings
Publisher : Springer Singapore
Source : Smart Innovation, Systems and Technologies
Url : https://doi.org/10.1007/978-981-16-3675-2_39
Campus : Kochi
School : School of Computing
Year : 2021
Abstract : As the amount of data is increasing rapidly, its storage and security issues also increase. Hadoop is currently a popular framework for big data storage and processing. Since, security is not a primary consideration in Hadoop when it was initially developed makes the data stored in Hadoop distributed file system vulnerable to attacks. For protecting these data, numerous encryption techniques has been developed. This paper analyses and presents a comparison on advanced encryption standard, a symmetric cipher and Rivest-Shamir-Adleman, an asymmetric cipher cryptographic algorithms. Finally, this paper proposes a hybrid method that combines both RSA and AES technique to improve the performance of encryption-decryption on HDFS files and thereby increases the security of big data in Hadoop framework. The proposed technique is found to be feasible and is able to enhance the confidentiality of HDFS files stored in Hadoop framework and is also able to overcome the limitations when using the AES encryption technique alone.
Cite this Research Publication : Aswathi Sunder, Neetha Shabu, T. Remya Nair, Securing Big Data in Hadoop Using Hybrid Encryption, Smart Innovation, Systems and Technologies, Springer Singapore, 2021, https://doi.org/10.1007/978-981-16-3675-2_39