Secure Verifiable Outsourced Watermark Embedding Framework in Multi-User Settings
Wanxi Yan, Hang Cheng, Meiqing Wang, Hehui Ye, Qinjian Huang, Li Wu · 2022
With the development of the mobile Internet, supporting multi-user has become a popular concern for Internet-based algorithms. In this paper, an efficient watermark embedding framework is proposed to achieve secure outsourced image watermarking in multi-user settings. In addition, an authentication mechanism for authorized users is designed to ensure the security and correctness of the information. The proposed method enables watermarking operations in complex outsourced environments while embedding watermarks in encrypted images of multiple users. The experimental results show that the framework is feasible and scalable.