• DocumentCode
    1621295
  • Title

    A model for classifying threats and framework association in wireless sensor networks

  • Author

    Ashraf, Adnan ; Rauf, Abdul ; Mussadiq, Marvie ; Chowdhry, B.S. ; Hashmani, Manzoor

  • Author_Institution
    CREST Group, Mehran UET, Jamshoro, Pakistan
  • fYear
    2009
  • Firstpage
    7
  • Lastpage
    9
  • Abstract
    Security of wireless sensor network (WSN) remained an open research area throughout the current decade. New research and developments seems protecting sensor networks from various security threats but at the same time raise many questions, confusions and conflicts regarding their own viability. Such viability issues become major hindrances in security assessment of WSNs against posed security threats. This results in less reliable sensor networks and applications. In our strong opinion, there are two root-causes of this problem; 1) a comprehensive list of security threats is overlooked as researchers´ work appear limited in classification of security threats and, 2) security threats are not associated with security frameworks. In this paper, we perform classification of security threats comprehensively whereas, associating these threats to a security framework; we lead in this direction. We find that specifically to assess the impact of these threats.
  • Keywords
    telecommunication security; wireless sensor networks; security framework association; security threats classification; sensor networks protection; viability issues; wireless sensor network security; Biosensors; Data security; Information resources; Information security; Performance analysis; Protection; Research and development; Surveillance; Testing; Wireless sensor networks; WSN security; component; security frameworke; security vulnerability; threats and atacks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Anti-counterfeiting, Security, and Identification in Communication, 2009. ASID 2009. 3rd International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-3883-9
  • Electronic_ISBN
    978-1-4244-3884-6
  • Type

    conf

  • DOI
    10.1109/ICASID.2009.5277037
  • Filename
    5277037