• DocumentCode
    612647
  • Title

    A secure communication framework for large-scale unmanned aircraft systems

  • Author

    Jiang Bian ; Seker, Remzi ; Mengjun Xie

  • Author_Institution
    Div. of Biomed. Inf., Univ. of Arkansas for Med. Sci., Little Rock, AR, USA
  • fYear
    2013
  • fDate
    22-25 April 2013
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    The application areas for Unmanned Aircraft (UA) Systems (UAS) are constantly expanding. Aside from providing an attractive alternative in applications that are risky for humans, smaller UAS become highly attractive for applications where use of larger aircraft is not practical. This paper presents the UAS Collaboration Wireless Network (UAS-CWN), a secure and reliable UAS communication mesh-network. This solution is proposed for the circumstances where a large number of UAS are deployed to cooperatively accomplish a mission such as surveillance in hostile environments. The proposed UAS-CWN system provides high fault-tolerance through use of information dispersal algorithm and meanwhile reduces the risk of information exposure to the adversaries via security-enhancing mechanisms. Our evaluation shows promising results. Especially, a UAS-CWN with high security-level settings can withstand losing 30% of the total number of unmaned aircrafts while steadily achieving above 96% data recovery rate.
  • Keywords
    aircraft; aircraft communication; autonomous aerial vehicles; fault tolerance; telecommunication network reliability; telecommunication security; wireless mesh networks; CWN; UAS; collaboration wireless network; communication mesh-network reliability; data recovery rate; fault-tolerance; information dispersal algorithm; information exposure reduction; large-scale unmanned aircraft system; secure communication framework; surveillance; Base stations; Collaboration; Encryption; Sensors; Unmanned aerial vehicles; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Communications, Navigation and Surveillance Conference (ICNS), 2013
  • Conference_Location
    Herndon, VA
  • ISSN
    2155-4943
  • Print_ISBN
    978-1-4673-6251-1
  • Type

    conf

  • DOI
    10.1109/ICNSurv.2013.6548542
  • Filename
    6548542