Paper Info
Title
Design and implementation of HDFS data encryption scheme using ARIA algorithm on Hadoop
Abstract
Hadoop is developed as a distributed data processing platform for analyzing big data. Enterprises can analyze big data containing users' sensitive information by using Hadoop and utilize them for their marketing. Therefore, researches on data encryption have been widely done to protect the leakage of sensitive data stored in Hadoop. However, the existing researches support only the AES international standard data encryption algorithm. Meanwhile, the Korean government selected ARIA algorithm as a standard data encryption scheme for domestic usages. In this paper, we propose a HDFS data encryption scheme which supports both ARIA and AES algorithms on Hadoop. First, the proposed scheme provides a HDFS block-splitting component that performs ARIA/AES encryption and decryption under the Hadoop distributed computing environment. Second, the proposed scheme provides a variable-length data processing component that can perform encryption and decryption by adding dummy data, in case when the last data block does not contains 128-bit data. Finally, we show from performance analysis that our proposed scheme is efficient for various applications, such as word counting, sorting, k-Means, and hierarchical clustering.
Year
DOI
Venue
2017
10.1109/BIGCOMP.2017.7881720
2017 IEEE International Conference on Big Data and Smart Computing (BigComp)
Keywords
Field
DocType
Hadoop Security,Data Encryption,HDFS Data Encryption,ARIA Encryption Algorithm,Hadoop Encryption Codec
Client-side encryption,Computer science,Advanced Encryption Standard,Disk encryption hardware,Block (data storage),Algorithm,Encryption,40-bit encryption,Dummy data,Big data,Operating system
Conference
ISSN
ISBN
Citations 
2375-933X
978-1-5090-3016-3
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
Youngho Song111.70
Young-sung Shin233.44
Miyoung Jang3288.01
Jae-Woo Chang440199.85