Synchronization of semi-Markov jump two-time-scale fuzzy neural networks dealing with dual-scale hybrid attacks and its application

초록

In this paper, the synchronization issue of the semi-Markov jump two-time-scale fuzzy neural networks dealing with dual-scale hybrid attacks is addressed, in which the dual-scale hybrid attacks mean that hybrid attacks can be encountered in different time scales transmission channels. Based on mismatched membership functions, a new epsilon-dependent combined synchronization controller is proposed to ensure the synchronization of the master semi-Markov jump two-time-scale fuzzy neural networks and the slave ones while it is capable of resisting independent dual-scale hybrid attacks. Through the development of a Lyapunov function incorporating the singular perturbation parameter epsilon, stability conditions and a computational approach for determining the synchronization controller gain are derived for semi-Markov jump two-time-scale fuzzy neural networks. Finally, some simulations and two encryption and decryption processes are used to show the effectiveness of obtained results.

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