Secure communication based on intelligent adaptive interlayer exponential synchronous for DANNs under cyber attacks

• Published in: Nonlinear dynamics Vol. 112; no. 20; pp. 18581 - 18592
• Main Authors: Tan, Fei, Zhou, Lili, Jia, Fujin, Li, Chunlai
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.10.2024; Springer Nature B.V
• Subjects: Artificial neural networks; Automotive Engineering; Classical Mechanics; Communication; Computer engineering; Control; Cybersecurity; Design; Dynamical Systems; Engineering; Interlayers; Mechanical Engineering; Neural networks; Original Paper; Random variables; Vibration; Cyber attacks; Signal encryption; Synchronization; Neural networks
• ISSN: 0924-090X; 1573-269X
• DOI: 10.1007/s11071-024-09988-9

In recent years, cyber security has become a increasingly prominent, with the core issue being the design of secure communication. In this paper, a secure communication framework based on secure interlayer exponential synchronous of duplex artificial neural networks (DANNs) under cyber attacks is developed. To resist random uncertainties and cyber attacks which is conceled in transmission of the signals, based on the Lyapunov’s second method, an intelligent adaptive controller is designed. Based upon Lyapunov stable theory, the criteria for the interlayer synchronous are got. Finally, a secure communication framework based on the secure synchronous policy is derived.Through simulation experiments, exponential synchronous for DANNs and signal security communication have been achieved. Thus, the effectiveness of the theoretical framework is validated. The researches provide references in the design of secure communication schemes in engineering.