Method Using Partial Data to Confirm Completion of the Tree Parity Machines Synchronization
Mykyta Aleksandrov, Yevgen Bashkov · 2022
This article proposes an approach to partially use the values of synapses for mutual synchronization of neural networks. Tree parity machines are used as mutually synchronizing neural networks. Confirmation of the completion of mutual synchronization is performed by comparing the hash calculated based on the values of the synapses of neural networks. Partial use of synapse values is proposed to save part of the data from transmission over the network in direct or encrypted form. The study experimentally confirmed the possibility of such an approach and the allowable amount of unused data. Improvements to this method have also been proposed and experimentally tested. The tasks of further research are determined.