IPFS-Based Image Sharing Using Perceptual Hash Code with Digital Right Management

Abstract

AbstractIn the current scenario, a large amount of information is exchanged over the Internet. An unauthorized user access may cause the information to be modified, disseminated, misused, detected, and used. Digital rights management (DRM) is a method of preserving copyrights in digital media. It often requires more elements than simply restricting or prohibiting copies of the content. This strategy includes the deployment of technologies that limit the copying and use of copyrighted works as well as proprietary software. The proposed approach has two modules. They are hash code generation of an image and Store and retrieve the data from IPFS. First, select the watermarked image. The different types of perceptual hashes are average hash, perceptual hash, difference hash, and wavelet hashing. The perceptual hash codes are generated for the selected watermarked image. Then, the watermarked image and created copyright text files are shared through the IPFS system. The goal of this proposed system is to compare the perceptual hashes by using the hamming distance, size of the image, and calculation time. Based on the evaluation, difference hash algorithm provides a better result. So, it is used to check whether the send and retrieve files of IPFS are similar or not. In the IPFS file system, hash codes are used to find the location of a file effectively and securely. This paper proposes, how IPFS and perceptual hashes are preventing unauthorized user access to the system while sharing the images over the Internet. Genuine image authors’ copyrights are protected by using perceptually identical images on a decentralized blockchain IPFS store.KeywordsPerceptual hashesBlockchainIPFSDigital right managementWatermark