• DocumentCode
    3086274
  • Title

    Efficient fine-grained data access control in wireless sensor networks

  • Author

    Wang, Qian ; Ren, Kui ; Wang, Cong ; Lou, Wenjing

  • Author_Institution
    Illinois Inst. of Technol., Chicago, IL, USA
  • fYear
    2009
  • fDate
    18-21 Oct. 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Recent advances in distributed in-network data storage and access control have led to active research in efficient and robust data management in wireless sensor networks (WSNs). Although numerous schemes have been proposed this far, most of them do not provide enough attention towards exploiting user hierarchy and sensor heterogeneity, which is quite a practical issue especially when deploying WSNs in mission-critical application scenarios. In this paper, we propose an efficient secret-key cryptography-based (SKC) fine-grained data access control scheme for securing both distributed data storage and retrieval. In our design, secret keying information for data encryption and decryption are constructed based on the scheme of Blundo et al. with information-theoretic security. To further enhance the security strength, we then propose an efficient user revocation scheme based on the idea of blinded Merkle hash tree construction. Extensive performance analysis shows that the proposed schemes are very efficient and practical for WSNs.
  • Keywords
    authorisation; private key cryptography; wireless sensor networks; blinded Merkle hash tree construction; data access control; data management; distributed in-network data storage; secret-key cryptography; user hierarchy; user revocation; wireless sensor networks; Access control; Cryptography; Data security; Information retrieval; Information security; Memory; Mission critical systems; Performance analysis; Robust control; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference, 2009. MILCOM 2009. IEEE
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-5238-5
  • Electronic_ISBN
    978-1-4244-5239-2
  • Type

    conf

  • DOI
    10.1109/MILCOM.2009.5379991
  • Filename
    5379991