An Effective Blockchain Technique to Resist Against Deepfake Videos

Recently, with growth in artificial intelligence as well in deep learning, fake digital data like images, footage, videos and audios has escalated. This fake data is termed as deep fakes. It is a dangerous scenario which is responsible to alter the truth and grind down the trust because of spreading wrong or false message. So it is necessary to secure data. There is one important technique which is used to resist the deep fake videos: blockchain. This paper aimed to identify the origin of video and verify the authenticity of video, to integrate the work with scalable verification mechanism and to implement blockchain based technique for effective deepfake video recognition. In short, it provides the analysis for video signal for identification of the originality of the video.SHA3-256 algorithm which is base for encryption is utilized in blockchain to obtain the hash function.In proposed method the results are compared with the implementation of metadata extraction in which the various properties of the video file are taken for consideration like bitrate, frame rate, etc. for the exact data determination along with the hash value.