• DocumentCode
    2110151
  • Title

    An Authentication Method for Self Nodes Based on Watermarking in Wireless Sensor Networks

  • Author

    Dong, Xiaomei ; Li, Xiaohua

  • Author_Institution
    Key Lab. of Med. Image Comput., Northeastern Univ., Shenyang, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to solve data security issues in wireless sensor networks, an authentication method for self nodes based on digital watermarking technique for wireless sensor networks was proposed. The algorithms for identity generation, embedding and detecting were designed. According to the authentication model proposed, the identity of sending node was generated by transforming a key and the data collection time. The transforming result formed the watermark, which was embedded into the sending data. The receiving node judges the authenticity of the data by verifying this watermark. Once the watermark was detected, the data would be stored and transmitted. Otherwise the data would be discarded. Analysis for the security and energy consumption of the algorithms and experimental results show that these algorithms are effective and practicable. The authentication algorithms are also robust enough to resist the process of aggregations such as sampling and summarization.
  • Keywords
    public key cryptography; telecommunication security; watermarking; wireless sensor networks; data collection time; data security; detection algorithm; digital watermarking technique; encrypted embedded algorithm; identity generation algorithm; public key cryptography; self node authentication method; wireless sensor network; Algorithm design and analysis; Authentication; Biomedical imaging; Cryptography; Data security; Information science; Laboratories; Protection; Watermarking; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5302423
  • Filename
    5302423