Identification of Fake Video Using Smart Contracts and SHA Algorithm

SwapnaliTambe, Dr. Anil Pawar, Dr. S K Yadav
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Abstract

Deepfake is as a matter of fact a medium where one individual is supplanted by another who appears as though him. The profound bogus demonstration has been continuing for quite a long while. Profound phony uses incredible strategies, for example, AI and man-made consciousness to create and control visual and sound substance with high potential for the gadget. Profound misrepresentation relies upon the sort of impartial association called and the programmed encoder. These are essential for an encoder, which lessens a picture to a lower dimensional ideal and an ideal introduction picture. I examined various answers on various advances via web-based media stages like twitter and face book. From these examinations we are roused to extend this objective. In our proposed framework, we centre around identifying profound phony recordings utilizing blockchains, keen agreements, and secure hashing calculations. We utilize a few calculations to relieve the issue, for example, the SHA string
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基于智能合约和SHA算法的假视频识别
Deepfake实际上是一种媒介,一个人被另一个看起来像他的人所取代。深刻的虚假示威已经持续了相当长一段时间。深刻的虚假使用令人难以置信的策略,例如,人工智能和人造意识来创造和控制具有高潜力的视觉和声音物质。深刻的误传依赖于所谓的公正的联系和编程编码器。这些对于编码器来说是必不可少的,编码器将图像减小到较低维度的理想图像和理想的介绍图像。我通过twitter和facebook等基于网络的媒体平台研究了关于各种进展的各种答案。从这些考察中,我们被唤醒去扩展这一目标。在我们提出的框架中,我们围绕着利用区块链、敏锐协议和安全哈希计算来识别深刻的虚假录音。我们利用一些计算来解决这个问题,例如SHA字符串
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