• DocumentCode
    2967928
  • Title

    Effective network defense strategies to maximize system survivability of wireless mesh networks under malicious and jamming attacks

  • Author

    Lin, F.Y. ; Yu-Shun Wang ; Jing-Wei Wang ; Chi-Hsiang Chan

  • Author_Institution
    Dept. of Inf. Manage., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2012
  • fDate
    21-23 Nov. 2012
  • Firstpage
    297
  • Lastpage
    302
  • Abstract
    Continuity of wireless networks is a critical issue for wireless networks. Unfortunately, there is a category of attacks that seriously threatens the continuity of wireless networks: the jamming attack. The open nature of wireless mediums makes them vulnerable to any wireless capable devices. However, there have not been any studies that address the issue of how the service providers should deploy its topology or allocate its resources to minimize the impact of jamming attacks launched by malicious attackers. In this paper, a mathematical model formulating an attack-defense scenario of the problem is proposed. The results show when deploying defense resources, considering hops from the core node is more useful than link degrees. With the advantage of simulations, the concept of incomplete information can be taken into account which, while increasing the difficulty of the problem, makes the problem closer to reality.
  • Keywords
    jamming; mathematical analysis; system recovery; telecommunication network reliability; telecommunication security; wireless mesh networks; attack defense scenario; jamming attacks; malicious attackers; malicious attacks; mathematical model; network defense strategy; resource allocation; service providers; system survivability; wireless mesh networks; IP networks; Jamming; Network topology; Resource management; Topology; Wireless networks; Honeypots; Incomplete Information; Jamming Attack; Mathematical Programming; Network Attack and Defense; Network Survivability; Resource Allocation; Wireless Mesh Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Aspects of Social Networks (CASoN), 2012 Fourth International Conference on
  • Conference_Location
    Sao Carlos
  • Print_ISBN
    978-1-4673-4793-8
  • Type

    conf

  • DOI
    10.1109/CASoN.2012.6412418
  • Filename
    6412418