An Image Encryption Algorithm Based on BP Neural Network and Hyperchaotic System

• 作 者: Feifei Yang Jun Mou Yinghong Cao Ran Chu
• 机 构: School of Information Science and Engineering,Dalian polytechnic University,Dalian 116034,China
• 出 处: 中国通信（英文版）
• 发表日期: 2020年5期
• 关键词: BP neural network fractional-or-der hyperchaotic system image encryption algorit

To reduce the bandwidth and stor-age resources of image information in commu-nication transmission,and improve the secure communication of information.In this paper,an image compression and encryption algo-rithm based on fractional-order memristive hyperchaotic system and BP neural network is proposed.In this algorithm,the image pixel values are compressed by BP neural network,the chaotic sequences of the fractional-order memristive hyperchaotic system are used to diffuse the pixel values.The experimental simulation results indicate that the proposed algorithm not only can effectively compress and encrypt image,but also have better secu-rity features.Therefore,this work provides theoretical guidance and experimental basis for the safe transmission and storage of image information in practical communication.