Real Time Content Based Automated Privacy Policy QR Code Watermarking for User Uploaded Images in Cloud

Abstract: It is been well known fact that the privacy has being one of the major concerns in data sharing over the cloud. Even though every cloud service provider who allows user photo sharing (for example Flickr, Facebook, Instagram) will have their own privacy settings by means of which user can determine who are authorized to view the photograph and share the uploaded photographs. However, it is often found that several users are ignorant about these privacy settings which lead to mishandling of sensitive digital photos. It is also seen often that due to wrong privacy settings, such photos end up appearing in the time line of unintended users. Beside this, user tends to share the same photo over different platforms with different set of social connectivity and privacy policy attached to them. Also there exists no automated tool for inferring privacy of the user shared images and also a common protocol is missing by means of which independent providers can infer a privacy setting for a photograph.In order to provide a solution for the aforementioned problem, we propose a novel privacy policy inference and watermarking technique for user uploaded images. The contribution of this work is in uploading a manager tool that acts as the bridge between user and cloud photo sharing platforms. The tool infers a set of privacy rules based on image metadata, visual content and users past privacy setting preferences and embeds the privacy information in the image using invisible wavelet based watermarking. The non-encrypted watermarking information presented as a xml privacy chain is converted into a QR code and embedded in the image which can be used by multiple platform providers as an universal privacy setting for the photos. Keywords: watermarking, Steganography, Cloud data