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
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