Deepfake-based Covert Data Acquisition System
and Methods with Malicious Application
Mimicry and Stealthy Communication Channels.
▪️ This paper explores deepfake technology, which utilizes powerful deep learning to generate extremely realistic synthetic media. It spotlights positive uses, like simulating scenarios in social science research, while explaining risks, including misinformation and identity theft.
▪️ It offers analysis on how AI generates fake images, videos and audio and explores the history behind such techniques in various fields. We critically discuss the ethical and security concerns while also presenting detection and mitigation strategies.
▪️ The paper is a constructive commentary on the safe use of deepfakes, encouraging consumers, users and citizens of deepfakes to integrate an appropriate awareness of the positive and adverse implications that might occur as consequences of deepfake phenomena in society.