Name
Title | ||
|---|---|---|
Secure Communication Based on Quantized Synchronization of Chaotic Neural Networks Under an Event-Triggered Strategy |
Abstract | ||
|---|---|---|
This article presents a secure communication scheme based on the quantized synchronization of master-slave neural networks under an event-triggered strategy. First, a dynamic event-triggered strategy is proposed based on a quantized output feedback, for which a quantized output feedback controller is formed. Second, theoretical criteria are derived to ensure the bounded synchronization of master-slave neural networks. With these criteria, an explicit upper bound is given for the synchronization error. Sufficient conditions are also provided on the existence of quantized output feedback controllers. A Chua's circuit is chosen to illustrate the effectiveness of our theoretical results. Third, a secure communication scheme is presented based on the synchronization of master-slave neural networks by combining the basic principle of cryptology. Then, a secure image communication is studied to verify the feasibility and security performance of the proposed secure communication scheme. The impact of the quantization level and the event-triggered control (ETC) on image decryption is investigated through experiments. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TNNLS.2019.2943548 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Chaotic neural networks,event-triggered strategy,quantized synchronization,secure communication | Journal | 31 |
Issue | ISSN | Citations |
9 | 2162-237X | 13 |
PageRank | References | Authors |
0.52 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wangli He | 1 | 606 | 31.61 |
| Tinghui Luo | 2 | 13 | 0.52 |
| Yang Tang | 3 | 1310 | 64.50 |
| Wenli Du | 4 | 179 | 30.50 |
| Yu-Chu Tian | 5 | 550 | 59.35 |
| Feng Qian | 6 | 267 | 14.00 |