• DocumentCode
    1837977
  • Title

    Analysis of binary voting algorithms for use in fault-tolerant and secure computing

  • Author

    Kwiat, Kevin ; Taylor, Alan ; Zwicker, William ; Hill, Daniel ; Wetzonis, Sean ; Ren, Shangping

  • Author_Institution
    Cyber Sci. Branch, Air Force Res. Lab., Rome, NY, USA
  • fYear
    2010
  • fDate
    Nov. 30 2010-Dec. 2 2010
  • Firstpage
    269
  • Lastpage
    273
  • Abstract
    We examine three binary voting algorithms used with computer replication for fault tolerance and separately observe the resultant reliability and security. We offer insights to answer the question: Can a voting algorithm provide a system with both security and reliability? We show that while random dictator (i.e., randomly choosing one of the replicas) provides good security and majority rule yields good fault tolerance neither is effective in both. We present the random troika (a subset of 3 replicas) as an effective combination of fault-tolerant and secure computing.
  • Keywords
    distributed processing; fault tolerant computing; security of data; social aspects of automation; binary voting algorithm; computer replication; fault tolerant computing; random troika; reliability algorithm; secure computing; Clustering algorithms; Computers; Fault tolerance; Fault tolerant systems; Probability; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Systems (ICCES), 2010 International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-7040-2
  • Type

    conf

  • DOI
    10.1109/ICCES.2010.5674867
  • Filename
    5674867