A Novel Watermarking Method using Geographical Random Image for Cloud Computing based on DCT Reversible Color Hiding Algorithm

With the fast development of Cloud computing, most of clients transfer their information and applications on the cloud to benefit from the cheap, easily accessible, and always available storage facilities. The development of the Internet has generally expanded the availability of digital data like images, audio and videos to the public. The fundamental problem in cloud computing is the security of the stored data. Digital watermarking is a technology that can used to secure the ownership of data saved on the public devices and facilitates data authentication for copyright protection of digital media. This paper explains the details of reversible color hiding for RGB image using DCT algorithm to extract the features of the favorite image and embed it into the cover image. In this paper, we have proposed a new watermarking method based on the Geographical Random Image (GRM). The random image is obtained from the Google earth map and client favorite location of the map. Since the selection of the image from Google map is random and client can easily change his favorite image location, it is impossible for the hacker to obtain the image location and corresponding generated code even using multicore systems and supercomputers. Once the RGB image is selected, then its corresponding compressed gray scale image will be obtained based on Malakooti-Khederzadeh reversible color hiding algorithm [13-15]. Our Proposed algorithm is used to hide the DCT coefficient of the random image, after the reversible color hiding algorithm is applied, into the cover image. To increase the availability and security of the stored data, we have used the Malakooti-Mansourzadeh Data Redundancy Algorithm (MMDRA) [14], a modified version of DEPSKY, to store the watermarked images into several different clouds. This algorithm secures the availability and accessibility of the stored data.