A new approach for byzantine agreement
S.C. Wang, Shao-kong Kao · 2002
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.