• DocumentCode
    1703483
  • Title

    Improving Resilience Against Node Capture Attacks in Wireless Sensor Networks Using ICmetrics

  • Author

    Tahir, Ruhma ; McDonald-Maier, Klaus

  • Author_Institution
    Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
  • fYear
    2012
  • Firstpage
    127
  • Lastpage
    130
  • Abstract
    Wireless Sensor Networks (WSNs) have the potential of being employed in a variety of applications ranging from battlefield surveillance to everyday applications such as smart homes and patient monitoring. Security is a major challenge that all applications based on WSNs are facing nowadays. Firstly, due to the wireless nature of WSNs, and secondly due to their ability to operate in unattended environments makes them even more vulnerable to various sorts of attacks. Among these attacks is node capture attack in WSNs, whose threat severity can range from a single node being compromised in the network to the whole network being compromised as a result of that single node compromise. In this paper, we propose the use of ICMetric technology to provide resilience against node compromise in WSN. ICmetrics generates the security attributes of the sensor node based on measurable hardware and software characteristics of the integrated circuit. These properties of ICmetrics can help safeguard WSNs from various node capture attacks.
  • Keywords
    cryptography; wireless sensor networks; ICMetric technology; WSN; battlefield surveillance; measurable hardware; node capture attacks; node compromise; patient monitoring; security attributes; smart homes; software characteristics; wireless sensor networks; Cryptography; Hardware; Measurement; Software; Wireless communication; Wireless sensor networks; ICMetrics; Wireless Sensor Networks; node capture attacks; security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Security Technologies (EST), 2012 Third International Conference on
  • Conference_Location
    Lisbon
  • Print_ISBN
    978-1-4673-2448-9
  • Type

    conf

  • DOI
    10.1109/EST.2012.44
  • Filename
    6328096