• DocumentCode
    3670506
  • Title

    Random neighbour-based fault localization

  • Author

    Xinyu Zhu;Xueping He

  • Author_Institution
    School of Software, Shanghai Jiao Tong University, Shanghai, China
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    100
  • Lastpage
    104
  • Abstract
    In the large-scale network, the router acts an increasingly important role but the malicious behaviours including packets dropping and corruption of the malicious routers harm the performance of the network. Actually, many work has been proposed to locate the potential failure nodes but they all suffer from some issues of performance and scalability, which are not practical for the network environment. To deal with these problems, we introduce random neighbour-based fault localization (RNFL). It utilizes neighbourhood nodes and message authentication code (MAC) to check the integrity of packets so that RNFL can detect the malicious nodes. Besides, it supports dynamic routing and the experiment shows that it only puts small extra computing burden (less than 10%) on the network routers.
  • Keywords
    "Generators","Radiation detectors","Security","Throughput","Routing protocols","Routing","Fingerprint recognition"
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2015 IEEE International Conference on
  • Print_ISBN
    978-1-4799-1983-3
  • Type

    conf

  • DOI
    10.1109/ICCSN.2015.7296135
  • Filename
    7296135