By Topic

Toward Data Confidentiality via Integrating Hybrid Encryption Schemes and Hadoop Distributed File System

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Hsiao-Ying Lin ; Intell. Inf. & Commun. Res. Center, Nat. Chiao Tung Univ., Hsinchu, Taiwan ; Shiuan-Tzuo Shen ; Wen-Guey Tzeng ; Lin, B.-S.P.

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.

Published in:

Advanced Information Networking and Applications (AINA), 2012 IEEE 26th International Conference on

Date of Conference:

26-29 March 2012