• DocumentCode
    2313898
  • Title

    Agent Based Secure Data Collection in Heterogeneous Sensor Networks

  • Author

    Poornima, A.S. ; Amberker, B.B.

  • Author_Institution
    Dept. of Comput. Sci. & Engg, Siddaganga Inst. of Technol., Tumkur, India
  • fYear
    2010
  • fDate
    9-11 Feb. 2010
  • Firstpage
    116
  • Lastpage
    120
  • Abstract
    Efficient data collection is challenging in Wireless Sensor Networks. Use of Mobile Agents for various operations like data collection and software updates in Wireless Sensor Networks is receiving significant attention recently as it increases the lifetime of the network. Mobile Agents are privileged hence they are attractive targets. Compromised mobile agents may be used to launch various attacks in turn may compromise the entire network. Also an adversary may deploy some malicious nodes which act as mobile agents. In order to provide security for the network in this paper we are proposing a simple authentication scheme for heterogeneous sensor network which uses mobile agents for efficient data collection. The proposed scheme is used to identify malicious nodes acting as mobile agents. Also we are achieving confidentiality of the data collected using simple key derivation technique which allows a cluster head to encrypt the data every time using a different key which can be easily derived by the base station.
  • Keywords
    authorisation; computer network security; data privacy; mobile agents; pattern clustering; wireless sensor networks; authentication; cluster head; data collection; heterogeneous sensor network; mobile agents; network security; wireless sensor network; Authentication; Base stations; Computer networks; Computer science; Data security; Machine learning; Magnetic heads; Mobile agents; Vehicles; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Computing (ICMLC), 2010 Second International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    978-1-4244-6006-9
  • Electronic_ISBN
    978-1-4244-6007-6
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.43
  • Filename
    5460758