• DocumentCode
    1490325
  • Title

    Flow-net methodology for accountability in wireless networks

  • Author

    Xiao, Yang

  • Author_Institution
    Univ. of Alabama, Tuscaloosa, AL, USA
  • Volume
    23
  • Issue
    5
  • fYear
    2009
  • fDate
    9/1/2009 12:00:00 AM
  • Firstpage
    30
  • Lastpage
    37
  • Abstract
    Accountability implies that any entity should be held responsible for its own specific action or behavior so that the entity is part of larger chains of accountability. One of the goals of accountability is that once an event has transpired, the events that took place are traceable so that the causes can be determined afterward. The poor accountability provided by today´s computers and networks wastes a great deal of money and effort; examples include activities to identify whether a system is under reconnaissance or attack, and the difficulties of distinguishing legitimate emails from phishing attacks. This is due to the simple fact that today´s computing and network infrastructure was not built with accountability in mind. In this article we propose a novel methodology called flow-net for accountability. We apply this methodology to media access control and routing layers in wireless networks. We then compare the performance of flow-net with audit log files. This article presents a novel approach for traffic data collection that can also be used for forensics and intrusion detection purposes.
  • Keywords
    access protocols; computer network management; mobile computing; security of data; telecommunication network routing; computing infrastructure; flow net methodology; forensic purposes; intrusion detection purposes; media access control; network infrastructure; routing layers; traffic data collection; wireless network accountability; Communication system traffic control; Computer crime; Computer networks; Forensics; Information security; Intrusion detection; Media Access Protocol; Reconnaissance; Routing; Wireless networks;
  • fLanguage
    English
  • Journal_Title
    Network, IEEE
  • Publisher
    ieee
  • ISSN
    0890-8044
  • Type

    jour

  • DOI
    10.1109/MNET.2009.5274919
  • Filename
    5274919