Video Fraud Detection using Blockchain

Abstract

This paper has considered the problem of Video Fraudulence, i.e., attackers can tamper with the original video and can create a fake video of their own. This problem is of great practical importance given the massive volume of online videos available through the World Wide Web, Internet news feeds, electronic mail, corporate databases, and digital libraries. To the best of our knowledge, no such video fraud detection algorithm has been proposed in the literature that can detect, using Blockchain, whether the video has been tampered with. This paper is a comparative study and provides a prototype of how it applies Blockchain to detect video fraudulence. The focus is on the usability of Blockchain and how to implement it to get the desired result. Three features of Blockchain that are Decentralization, Data transparency, and Security and privacy are being used to provide a reliable solution. Some cryptographic algorithms are used to find unique feature in all of the videos that can act as the hash value of the video because, in Blockchains, every node stores the data in the form of the hash value. If the video is tampered with, then the hash value changes and hence any fraud in the video can be detected.