• DocumentCode
    1796677
  • Title

    Friend or Flood? Social Prevention of Flooding Attacks in Mobile Opportunistic Networks

  • Author

    Parris, Iain ; Henderson, Tim

  • Author_Institution
    Sch. of Comput. Sci., Univ. of St. Andrews, St. Andrews, UK
  • fYear
    2014
  • fDate
    June 30 2014-July 3 2014
  • Firstpage
    16
  • Lastpage
    21
  • Abstract
    Opportunistic networks enable decentralised and infrastructure-less social networking applications, through the cooperation of peer mobile devices to forward messages on one another´s behalf. The decentralised and cooperative nature of these networks, however, introduces potential security threats. For instance, malicious nodes may modify messages, or send many messages in an attempt to drain other nodes´ resources and thereby disrupt the network. Such attacks are well-studied for wireless ad hoc networks, but may need reconsideration in disconnected opportunistic networks. In this paper we define a simple flooding attack that can deny service in an opportunistic network. We simulate the attack and demonstrate its efficacy using real-world datasets. We furthermore develop a scheme for mitigating the attack, by using the social relations between nodes. The scheme is lightweight, requires only local knowledge to be stored by each node, and is shown to be effective: for one dataset, the median proportion of time spent offline by nodes was reduced from 42.7% to 6.3%.
  • Keywords
    mobile computing; security of data; social networking (online); attack mitigation; flooding attacks; malicious nodes; mobile opportunistic networks; peer mobile devices; security threats; social networking applications; social relations; wireless ad hoc networks; Delays; Mobile handsets; Peer-to-peer computing; Resistance; Security; Social network services; denial-of-service; opportunistic networks; security; social networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems Workshops (ICDCSW), 2014 IEEE 34th International Conference on
  • Conference_Location
    Madrid
  • ISSN
    1545-0678
  • Print_ISBN
    978-1-4799-4182-7
  • Type

    conf

  • DOI
    10.1109/ICDCSW.2014.8
  • Filename
    6888834