Title :
Toward Data Confidentiality via Integrating Hybrid Encryption Schemes and Hadoop Distributed File System
Author :
Lin, Hsiao-Ying ; Shen, Shiuan-Tzuo ; Tzeng, Wen-Guey ; Lin, Bao-Shuh P.
Author_Institution :
Intell. Inf. & Commun. Res. Center, Nat. Chiao Tung Univ., Hsinchu, Taiwan
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.
Keywords :
cloud computing; cryptography; distributed processing; public domain software; storage management; HDFS-Pairing integration; HDFS-RSA integration; Hadoop distributed file system; data confidentiality enhancement; integrating hybrid encryption schemes; large scale data processing; open source cloud computing framework; storage servers; Cloud computing; Distributed databases; Encryption; Public key; Servers; Writing;
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2012 IEEE 26th International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4673-0714-7
DOI :
10.1109/AINA.2012.28