A Steganography Algorithm Based on CycleGAN for Covert Communication in the Internet of Things

With the wide application of the Internet of Things (IoT), the risk of data leakage and theft in IoT is gradually increasing since communication channel is public in data transmission. Thus, the IoT security has become a major problem in information security. Steganography is one of the key methods to solve the problems of personal privacy disclosure and covert communication. In order to make sure secure communications, this paper proposes a novel steganography algorithm based on image-to-image translation by adding steganography module and steganalysis module to CycleGAN, adapting to the covert communication and privacy preserving of the IoT. Steganalysis network is used to improve the anti-detection ability of stego image. Moreover, cycle consistent in CycleGAN can guarantee the quality of the generated image. Through the proposed scheme, the stego image can resist steganalysis by monitors to some extent and remain intact. The experimental results show that this method has a better performance than the state-of-the-art approach.