Image Forgery detection on cloud

Every day many digital documents are produced and distributed by televisions, newspapers, magazines, and websites. In all these communication channels images play an important role in communicating the information. Today, it is very easy to manipulate digital images with the help of advanced computer, photo editing software, image processing techniques etc. So, verification of the authenticity of digital images has become a challenging problem. This paper is based on image forgery detection on cloud. Image forger detection is classified into two: passive and active. Active approach includes digital signature and watermarking whereas the Passive approach includes detection of the tampered area using copy move and splicing techniques. Here we are using Canny Edge Detection Algorithm which mainly uses splicing. In this paper, we are also comparing canny edge detection and SSIM. SSIM is more efficient compared to canny edge detector and it gives above 90 % accuracy.