• DocumentCode
    1782789
  • Title

    Uncooperative localization improves attack performance in Underwater Acoustic Networks

  • Author

    Xiaoyan Lu ; Zuba, Michael ; Jun-Hong Cui ; Zhijie Shi

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Connecticut, Storrs, CT, USA
  • fYear
    2014
  • fDate
    29-31 Oct. 2014
  • Firstpage
    454
  • Lastpage
    462
  • Abstract
    Underwater Acoustic Networks (UANs) have become a focus of interest for emerging scientific research and military applications. Recent work has shown that performance of existing security attacks are sensitive to network topology. In this paper, we utilize the mobility of Autonomous Underwater Vehicles (AUVs) to discover the topology of UANs by monitoring the broadcast patterns of geographic routing protocols. In this way, a mobile attacker can take advantage of the geographic information used in UANs to improve attack performance. We evaluate our approach in Aqua-Sim and results show that attack performance of jamming is significantly improved.
  • Keywords
    autonomous underwater vehicles; routing protocols; telecommunication network topology; telecommunication security; underwater acoustic communication; AUVs; Aqua-Sim approach; UANs; attack performance; autonomous underwater vehicles; broadcast pattern monitoring; geographic information; geographic routing protocols; jamming; mobile attacker; network topology; security attacks; uncooperative localization; underwater acoustic networks; Artificial neural networks; Irrigation; Logic gates; Mobile communication; Monitoring; Localization; Network Discovery; Security; Underwater Acoustic Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Network Security (CNS), 2014 IEEE Conference on
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • DOI
    10.1109/CNS.2014.6997515
  • Filename
    6997515