Detection and Prevention from Deepfake Images Videos Using Increasing Frame Method

In the digital age, the exchange of confidential data over the internet has become an integral part of daily life. Therefore, verifying the authenticity of communication is essential to prevent non-repudiation by the sender. As we know there is alteration of the data by unauthorized is also possible by attempting the attack on that particular data, like there are many original and fake video are available on the internet. Therefore, we need to check that this video is original or fake. Thus, we need some kind of cryptography technique to protect this kind original video from fake video. Now main thing is that how we can find out that a particular video is original or fake. In this research, we are proposing a method by that we can protect video, or pics from deepfake. Here we are converting the video into a frame of pics than we can used the cryptography algorithm to save this data. As we know that, a pic is a combination of the pixels and every pixel is made by color combination of red green and blue. The range of every color is from zero to 255. Therefore, we are using these color values to protect our pic or video. Know we are using least significant bit of every pixel to check that is any changes in our original data. Now we are applying the secure hash algorithm on these least significant bits and make the hash here, as we know that hash is a unique value for a particular input. So, if any one makes the change in our original pic than this hash value will be change. In this paper we are presenting an algorithm by use of it we can secure our video on public platform.