Watermark Detection for Security of Multimedia Data through MPC Privacy of Multimedia Data on the Cloud

Privacy preserving is major concern when a user or data owner outsources the data through third party on cloud. The main task here is finding the structure of cloud computing so as to make it secure with the use of watermark detection. For dealing with such requirements, compressive sensing (CS) based layout along with using secure multi-party computation (MPC) protocols can be utilized. While in the CS conversion the secrecy is maintained by MPC of CS matrix and watermark reorganization. The data holder, the watermark owner and the cloud for storage of data are main major parts in this system. Homomorphism based Pallier public key and secrete sharing based techniques can be used for the conversion of the data. The secrecy is maintained by the semi-honest model as unique protocol is followed by all MPC models. The framework provides protection for multimedia data which is stored on cloud and condensed and republished legally. RIP (Restricted Isometric Property) plays a significant role for renovation of image. In CS, it includes the aimed image, watermark reorganization and size of CS matrix. Some of the methods used such as Normal Distribution with District Cosine Transformation (DCT) can be used for watermark detection. The accuracy of the extracted functionality is approved through experiments. The analysis and the results of experiments give realistic solution by means of watermark reorganization.