• DocumentCode
    163040
  • Title

    A security model for wireless sensor networks

  • Author

    Marzi, Hosein ; Marzi, Arash

  • Author_Institution
    Dept. of Inf. Syst., St. Francis Xavier Univ., Antigonish, NS, Canada
  • fYear
    2014
  • fDate
    5-7 May 2014
  • Firstpage
    64
  • Lastpage
    69
  • Abstract
    Until recently use of sensors to collect sensitive parameters had only few risk factors such as sensor malfunction, uncertainty of data collection, or missing data coverage. Some issues in these categories were addressed by multi-sensor application or sensor fusion. However, advancement in technology and advent of wireless sensors in a networked environment, brought along a new risk factor related to the security in wireless sensor network. Therefore security in Wireless Sensor Network WSNs is challenging and critical to the functionality of the networked sensors. This is very important in cases of highly secure environment, especially in industrial, military, and medical domains. The standard WSN protocols focus on energy efficiency; transmission efficiency, and routing. WSN is known for limitations on hardware and software and for resources-constrained in general. An adaptive model of security that meets requirements and constraints in WSN is Intrusion Detections. This article investigates security in WSN and presents a design process for achieving optimum security based on requirements and constraints in WSNs. Further, comparative results between a proposed technique and other security current approaches are discussed.
  • Keywords
    energy conservation; optimisation; protocols; telecommunication security; wireless sensor networks; WSN protocols; data collection; data coverage; energy efficiency; intrusion detections; multisensor application; risk factor; security model; sensitive parameters; sensor fusion; sensor malfunction; transmission efficiency; wireless sensor networks; Accuracy; Peer-to-peer computing; Security; Sensor systems; Servers; Wireless sensor networks; Security; client sensors; energy efficiency; path length; security level; server sensors; trust and reputation system; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2014 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • Print_ISBN
    978-1-4799-2613-8
  • Type

    conf

  • DOI
    10.1109/CIVEMSA.2014.6841440
  • Filename
    6841440