A Privacy-Preserving Medical Image Scheme Based on Secret Sharing and Reversible Data Hiding

Ming Cheng, Yang Yang, Yingqiu Ding, Weiming Zhang

Abstract: With the development of online medical care, the security of patients’ private medical data in the cloud has aroused widespread concern. Currently, the security issues for medical images have been researched by some scholars, but these medical images which stored in single server may be destroyed if the server is maliciously attacked. In addition, the patient privacy information which included patients’ electronic medical records and personal information are not be protected. Therefore, in order to protect patients’ privacy information and secure storage of medical images, this paper proposed a privacy-preserving medical image scheme based on secret sharing and reversible data hiding. The medical image is encrypted at firstly, and the encrypted medical image and private information are shared by (t, n) threshold secret sharing scheme respectively. Then marked encrypted medical image shares are generated by embedding the privacy information share into the encrypted medical image share reversibly. Finally, they are sent to multiple servers for distributed storage. The receiver can combine and recover original medical images and private information after collecting no less than t shares, which greatly improves the security of medical image storage and effectively protects patients’ privacy information. Experimental results show that the proposed scheme is superior to other schemes in terms of encryption performance, embedding capacity and visual quality of decrypted medical image.