• DocumentCode
    119809
  • Title

    Wi-Fi intruder detection

  • Author

    Fernandes, Rui ; Matos, Joao N. ; Varum, Tiago ; Pinho, Pedro

  • Author_Institution
    Inst. de Telecomun. Aveiro, Aveiro, Portugal
  • fYear
    2014
  • fDate
    26-28 Oct. 2014
  • Firstpage
    96
  • Lastpage
    99
  • Abstract
    Nowadays, people are always concerned about security, not only about their own but also of their goods. Trying to solve this problem, this system presents itself as a convenient and interesting low-cost solution for intruder detection. Based on only Wi-Fi routers and laptops, widely spread infrastructures, we proposed an innovative alternative, capable of detecting intruders by sensing the different electromagnetic perturbation caused. These interference are sensed by the system through the changes in the acquired Wi-Fi Received Signal Strength Indicator (RSSI) data, trigged by the presence of obstacles/targets between the transmitter and receiver. Additionally, to enhance the detection capacity of the system, was evaluated the usage of Wavelet coefficient analysis of the RSSI results.
  • Keywords
    RSSI; radio receivers; radio transmitters; radiofrequency interference; security of data; telecommunication network routing; wireless LAN; RSSI; Wi-Fi intruder detection; Wi-Fi routers; electromagnetic perturbation; interference; laptops; radio receiver; radio transmitter; received signal strength indicator; wavelet coefficient analysis; Animals; IEEE 802.11 Standards; Sensors; Wavelet coefficients; Wireless sensor networks; Identification; Intruder Detection; RF Signature; RSSI; Security; Wavelet Transform; Wi-Fi; Wireless;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Sensors (ICWiSE), 2014 IEEE Conference on
  • Conference_Location
    Subang
  • Print_ISBN
    978-1-4799-5593-0
  • Type

    conf

  • DOI
    10.1109/ICWISE.2014.7042668
  • Filename
    7042668