• DocumentCode
    2902274
  • Title

    A new approach for byzantine agreement

  • Author

    Wang, S.C. ; Kao, S.H.

  • Author_Institution
    Dept. of Inf. Manage., Chaoyang Univ. of Technol., Taiwan
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    518
  • Lastpage
    524
  • Abstract
    Due to the malicious attacks and software errors cause faulty nodes to exhibit arbitrary behavior, a byzantine agreement (BA) is increasingly important. A novel solution for the BA problem is presented. We propose the use of an artificial neural network (ANN), a back propagation network (BPN), to help reach a common value in a fully connected network (FCN), and as a substitute for storing messages in each processor. There are several significant advantages: (1) using ANN to store messages, the memory space required in previous approaches is no longer needed; (2) the characteristic of the learning ability can help other new applications of the BA reach an agreement; and (3) parallel processing can be achieved in each processor
  • Keywords
    backpropagation; computer network reliability; fault tolerant computing; neural nets; parallel processing; protocols; security of data; ANN; back propagation network; byzantine agreement; distributed computing system; fault tolerance; fully connected network; learning; malicious attacks; memory space; message storage; parallel processing; protocol; reliable computer system; software errors; Artificial neural networks; Chaotic communication; Computer network reliability; Distributed computing; Fault tolerant systems; Information management; Interference; Neural networks; Parallel processing; Telecommunication network reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Networking, 2001. Proceedings. 15th International Conference on
  • Conference_Location
    Beppu City, Oita
  • Print_ISBN
    0-7695-0951-7
  • Type

    conf

  • DOI
    10.1109/ICOIN.2001.905500
  • Filename
    905500