• DocumentCode
    2183765
  • Title

    On Access Control Schemes for Hadoop Data Storage

  • Author

    Chunming Rong ; Zhou Quan ; Chakravorty, Anjan

  • Author_Institution
    Dept. of Sci. & Technol., Univ. of Stavanger, Stavanger, Norway
  • fYear
    2013
  • fDate
    16-19 Dec. 2013
  • Firstpage
    641
  • Lastpage
    645
  • Abstract
    Hadoop is a distributed Big Data storage and processing framework hugely adopted in different sectors from online media, education, government and social media to handle the enormous growth of information in their respective domains. However, the core architecture of the solution is based on a trusted cluster. It lacks native methods for protecting sensitive data that cross over enterprises and are exposed or accessed illegally. In this paper, propose an access control scheme for data stored in Hadoop, based on concepts from BitTorrent and the secure sharing storage over the cloud. The proposed schemes can impose access control for data owners, and prevent unauthorized access and illegal authorization.
  • Keywords
    authorisation; distributed processing; storage management; BitTorrent; Hadoop data storage; access control schemes; cloud computing; data owners; distributed big data storage; distributed processing framework; information growth; secure sharing storage; sensitive data protection; Authorization; Cloud computing; Cryptography; Peer-to-peer computing; Secure storage; BitTorrent; Hadoop; access control; authorization; secure sharing storage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Big Data (CloudCom-Asia), 2013 International Conference on
  • Conference_Location
    Fuzhou
  • Print_ISBN
    978-1-4799-2829-3
  • Type

    conf

  • DOI
    10.1109/CLOUDCOM-ASIA.2013.82
  • Filename
    6821062