• DocumentCode
    123780
  • Title

    Analyzing the ACK Counterfeiting Attack in Delay and Disruption Tolerant Networks

  • Author

    Naves, Juliano F. ; Monteiro Moraes, Igor

  • Author_Institution
    Laboratοrio MIdiaCom Inst. de Computaccαo, Univ. Fed. Fluminense Niterοi, Niteroi, Brazil
  • fYear
    2014
  • fDate
    5-9 May 2014
  • Firstpage
    52
  • Lastpage
    59
  • Abstract
    The routing protocols proposed for Delay and Disruption Tolerant Networks (DTNs) often employ acknowledgements. The goal is to increase the available space in buffers and also to avoid messages from being dropped unnecessarily due to buffer overflow. Protocols that employ such technique, however, are prone to suffer with from the acknowledgement counterfeiting attack. In this attack, malicious nodes counterfeit acknowledgements in order to force legitimate nodes to drop messages that are not already delivered to destination. Thus, the network performance is degraded. In this work, we analyze a countermeasure for this attack, in which nodes ignore acknowledgements for messages that were not previously received by this node. Three real mobility traces and a well-known mobility model are used in simulations and results show that when approximately 12% of the nodes in the network are malicious, the message delivery rate decreases up to 61 percentage points.
  • Keywords
    computer network security; delay tolerant networks; routing protocols; ACK counterfeiting attack analysis; acknowledgement counterfeiting attack; buffer overflow; delay tolerant networks; disruption tolerant networks; legitimate nodes; mobility model; mobility traces; protocols; routing protocols; Counterfeiting; Delays; Force; IP networks; Routing protocols; ACK counterfeiting attack; DTNs; security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Networks and Distributed Systems (SBRC), 2014 Brazilian Symposium on
  • Conference_Location
    Florianopolis
  • Type

    conf

  • DOI
    10.1109/SBRC.2014.7
  • Filename
    6927119