Cloud based secure watermarking using IWT-Schur-RSVD with fuzzy inference system for smart healthcare applications

The healthcare records include personal and sensitive information about the patient. These records are easily distributed via different platform for clinical diagnosis purpose. Presently, large volumes of medical data are stored on cloud platform. However, outsourcing medical data to these popular platforms may introduce security issues. Thus, a secure watermarking algorithm based on integer wavelet transform (IWT)-Schur-Randomized Singular Value Decomposition (RSVD) is put forward for medical records sharing in the cloud environment. To ensure high level of authentication, discrete wavelet transform (DWT) based embedding is conducted to achieve dual watermarking by concealing system MAC address in the logo image. Prior to this, the system address is encoded via turbo code to reduce /eliminate the channel noise, if any. Further, both invisibility and robustness are achieved by fuzzy inference system (FIS), and the marked image is encrypted using chaotic encryption scheme to further improve the security. Furthermore, experimental results is reported and compared with the existing works which demonstrated promising outcomes, indicating its potential towards realization of a valueadded tool for smart healthcare applications.