A Novel Extended Ripple and Cyberbullies Data Detection (E- RACYBDD) Framework to Mitigate Deep Fake Attacks on Social Media

Abstract

Social media is one of the topmost communications in the present world and some discomforts are also hidden in this. Social media is one of the platforms for cyberbullying. Teenagers who are not under the guidance of their parents are the major victims of cyberstalking and cyber abuses. Forensic image processing enhances the digital image using different computer techniques. Deep fake uses the technology to superimpose more than one image, video, and audio with other images, videos, and audios with the well-known artificial intelligence and generative adversarial networks (GANs). This technology raises the curtain to create many fake images, fake videos, especially porn videos and fake audios of celebrities, especially actors and politicians. This chapter explains the impacts of deep fakes in social media, especially Facebook and Twitter. This chapter proposed a new framework called the extended-RACYBDD to detect the deep attacks.