• DocumentCode
    2158221
  • Title

    Enable privacy preservation for k-NN query in two-tiered wireless sensor networks

  • Author

    Peng, Hui ; Zhang, Xiaoying ; Chen, Hong ; Wu, Yao ; Zeng, Juru ; Li, Deying

  • Author_Institution
    Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education, Beijing, China
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    6289
  • Lastpage
    6294
  • Abstract
    Wireless sensor network is an important part of the Internet of Things. Preservation of privacy and integrity in wireless sensor networks is extremely urgent and challenging. To address this problem, we propose PPKN, an efficient and privacy-preserving k-NN query protocol in two-tiered wireless sensor networks. Our proposal prevents adversaries from gaining sensitive information of both queries issued by users and data collected by sensor nodes while allows the sink to verify whether results are valid. It offers confidentiality of queries and data by constructing a special code, provides integrity verification by the correlation among data. Moreover, by the implementation of KNQ query framework, PPKN also achieves high efficient in query response and energy consumption. Finally, the theoretical analysis and experiment results show the high performance of PPKN in terms of privacy preservation and query efficiency.
  • Keywords
    Cryptography; Data privacy; Energy consumption; Privacy; Protocols; Storage management; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7249326
  • Filename
    7249326