• DocumentCode
    1836775
  • 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
  • fYear
    2012
  • fDate
    26-29 March 2012
  • Firstpage
    740
  • Lastpage
    747
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications (AINA), 2012 IEEE 26th International Conference on
  • Conference_Location
    Fukuoka
  • ISSN
    1550-445X
  • Print_ISBN
    978-1-4673-0714-7
  • Type

    conf

  • DOI
    10.1109/AINA.2012.28
  • Filename
    6184943