• DocumentCode
    2332951
  • Title

    Optimal Linear Network Coding Design for Secure Unicast with Multiple Streams

  • Author

    Wang, Jin ; Wang, Jianping ; Lu, Kejie ; Xiao, Bin ; Gu, Naijie

  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Linear network coding is a promising technology that can maximize the throughput capacity of communication network. Despite this salient feature, there are still many challenges to be addressed, and security is clearly one of the most important challenges. In this paper, we will address the design of secure linear network coding. Specifically, we will investigate the network coding design that can both satisfy the weakly secure requirements and maximize the transmission data rate of multiple unicast streams between the same source and destination pair, which has not been addressed in the literature. In our study, we first prove that the secure unicast routing problem is equivalent to a constrained link-disjoint path problem. We then develop efficient algorithm that can find the optimal unicast topology in a polynomial amount of time. Based on the topology, we design deterministic linear network code that is weakly secure and can be constructed at the source node. And finally, we investigate the potential of random linear code for weakly secure unicast and prove the low bound of the probability that a random linear code is weakly secure.
  • Keywords
    linear codes; network coding; random codes; telecommunication network routing; telecommunication security; constrained link-disjoint path problem; deterministic linear network coding; random linear code; secure unicast routing; source node; throughput capacity; transmission data rate; unicast streams; Communication networks; Communications Society; Computer science; Data security; Linear code; Network coding; Network topology; Routing; Throughput; Unicast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2010 Proceedings IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4244-5836-3
  • Type

    conf

  • DOI
    10.1109/INFCOM.2010.5462049
  • Filename
    5462049