• DocumentCode
    3409950
  • Title

    On optimizing energy consumption: An adaptative authentication level in wireless sensor networks

  • Author

    Peres, Martin ; Chalouf, Mohamed Aymen ; Krief, Francine

  • Author_Institution
    LaBRI, Univ. de Bordeaux, Bordeaux, France
  • fYear
    2011
  • fDate
    4-6 Aug. 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Nowadays´s authentication methods are essentially based on cryptography or any other kind of secret information. These methods are particularly efficient but they are, in certain cases, very power-hungry. As energy is a scarce resource in wireless sensor networks, we propose a new approach that consists in utilising the physical properties of the transmission medium in order to calculate, when receiving a frame, a confidence rating that we attribute to the source of the frame. This information is important in order to decide if it is necessary to authenticate the source using asymmetric cryptography. In the case where sensors are static and communications are slightly perturbed by the environment, the proposed rating can add another layer of control which enables sensors to check the origin of messages. This paper will also study how collaboration between the network´s nodes further enhances detection of malicious or third-party nodes.
  • Keywords
    cryptography; message authentication; wireless sensor networks; adaptative authentication level; asymmetric cryptography; confidence rating; energy consumption optimization; network nodes; physical properties; secret information; third-party nodes; transmission medium; wireless sensor networks; Authentication; Collaboration; Cryptography; Protocols; Sensors; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Information Infrastructure Symposium (GIIS), 2011
  • Conference_Location
    Da Nang
  • Print_ISBN
    978-1-4577-1262-3
  • Electronic_ISBN
    978-1-4577-1260-9
  • Type

    conf

  • DOI
    10.1109/GIIS.2011.6026718
  • Filename
    6026718