Toward data confidentiality via integrating hybrid encryption schemes and hadoop distributed file system

Hsiao Ying Lin*, Shiuan Tzuo Shen, Wen-Guey Tzeng, Bao-Shuh Lin 

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

With the increasing popularity of cloud computing, Hadoop has become a widely used open source cloud computing framework for large scale data processing. However, few studies have been done to enhance data confidentiality of Hadoop against storage servers. In this paper, we address the data confidentiality issue by integrating hybrid encryption schemes and the Hadoop distributed file system (HDFS). We propose and implement two integrations, HDFS-RSA and HDFS-Pairing, as extensions of HDFS. Experiments are conducted to demonstrate the performance overhead of HDFS-RSA and HDFS-Pairing. Our integrations provide alternatives toward achieving data confidentiality for Hadoop.

Original languageEnglish
Title of host publicationProceedings - 26th IEEE International Conference on Advanced Information Networking and Applications, AINA 2012
Pages740-747
Number of pages8
DOIs
StatePublished - 14 May 2012
Event26th IEEE International Conference on Advanced Information Networking and Applications, AINA 2012 - Fukuoka, Japan
Duration: 26 Mar 201229 Mar 2012

Publication series

NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
ISSN (Print)1550-445X

Conference

Conference26th IEEE International Conference on Advanced Information Networking and Applications, AINA 2012
CountryJapan
CityFukuoka
Period26/03/1229/03/12

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