標題: Toward Data Confidentiality via Integrating Hybrid Encryption Schemes and Hadoop Distributed File System
作者: Lin, Hsiao-Ying
Shen, Shiuan-Tzuo
Tzeng, Wen-Guey
Lin, Bao-Shuh P.
資訊工程學系
Department of Computer Science
公開日期: 1-Jan-2012
摘要: 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.
URI: http://dx.doi.org/10.1109/AINA.2012.28
http://hdl.handle.net/11536/150560
ISSN: 1550-445X
DOI: 10.1109/AINA.2012.28
期刊: 2012 IEEE 26TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA)
起始頁: 740
結束頁: 747
Appears in Collections:Conferences Paper