Forensic Technique for Social Network Provenance Classification of Images
P. Dhanyaja · International Journal for Research in Applied Science and Engineering Technology · 2018
The unprecedented popularity of various online social networks (OSNs) makes a rapid development to share digital contents online. However, misusing and dissemination of online contents widely happens. Under this circumstance, the identification of the origin and the propagation path of an online image are crucial for many forensic applications. It is a tough task to trace out background details and pre processing of digital image by forensic scientists. Strategic way to address a problem is to simply find image's history: knowing acquisition device and model of camera etc. This paper enlightens image classification based on originating social network. Since image has distinctive traces by social network. Manipulation process will be unique for each social network. Social network provenance based image classification is done through resorting at a trained multi-SVM classifier. Experimental results administrated are distinction attainable on numerous image datasets and in varied operative conditions. Additionally, technique is to go back to the initial JPEG quality image had before being uploaded on a social network.