Deep fake videos identification using ANN and LSTM

Abstract

With the demand for deep learning (DL) and artificial intelligence (AI) techniques, fake digital content has multiplied in the current days. Like fake movies, images, audio and video can be an unfavorable and dangerous phenomenon and can have the ability to alter trust in the truth by providing false reality content. But the explanations provided lack of ability to provide the historical tracing and origin of electronic media. In the current research, we try to provide a general solution using different methods like ANN, CNN and LSTM with smart contracts to copy and trace the root of origin and history of the computerized content to its unique source, regardless of whether the advanced substance is replicated on numerous occasions. The shrewd agreement utilizes the hash upsides of the interplanetary document framework used to store advanced substance and related metadata. Our answer is generally centered on video content.

Subject Classification:

• Primary 93A30
• Secondary 49K15

Keywords:

• Artificial intelligence
• Deep fake
• ANN
• LSTM