• DocumentCode
    1735987
  • Title

    Countermeasure for intelligent cluster-head jamming attack in wireless sensor network

  • Author

    Babar, Sachin D. ; Prasad, Neeli Rashmi ; Prasad, Ranga

  • Author_Institution
    Center for TelelnFrastruktur, Aalborg Univ., Aalborg, Denmark
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The emergence of wireless sensor networks (WSNs) in last few decades, increases the efficiency and accuracy of large number of applications such as defense, habitat monitoring, industrial and many more. The efficiency and accuracy of WSN is largely affected by the different security attacks and emergence of new attacks. Therefore, it is necessary to analyze and countermeasure the new ways of security attacks to make WSN proficient. The objective of the paper is to address this problem. The paper proposes the intelligent cluster head (CH) jamming attack, which will take place in cluster-based network. This attack disturbs the communication inside and outside the cluster. The paper also proposes the solution to countermeasure the attack during both inter- and intra- cluster communication. The proposed solution shows good performance efficiency of WSN in presence of intelligent CH jamming attack.
  • Keywords
    jamming; telecommunication security; wireless sensor networks; WSN; cluster-based network; habitat monitoring; intelligent CH jamming attack; intelligent cluster-head jamming attack; intercluster communication; intracluster communication; security attacks; wireless sensor network; Clustering algorithms; Energy efficiency; Jamming; Radio communication countermeasures; Security; Software; Wireless sensor networks; Wireless sensor network (WSNs); cluster-based; jamming; security attacks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Privacy and Security in Mobile Systems (PRISMS), 2013 International Conference on
  • Conference_Location
    Atlantic City, NJ
  • Type

    conf

  • DOI
    10.1109/PRISMS.2013.6927182
  • Filename
    6927182