A comprehensive study on multimedia DeepFakes

Since the entry of so-called DeepFakes in the development of fake multimedia, this late has marked a turning point and emerged as a major issue, although visual and aural media manipulations date back to the beginning of media itself. Thanks to this technology, the detection of altered and generated material has recently received more attention since the human ability to identify DeepFakes has significantly been far less effective than that of deep learning models. organizations need to be ready as there are countless ways to deceive using convincingly altered photos, videos, and audio, such as perpetrating fraud, damaging reputations, extorting money or influencing public opinion during elections, which undoubtedly impacts society. In this regard, there is a critical need for automated solutions that can identify fake multimedia material and prevent the spread of dangerous misinformation. This article aims to give a comprehensive review of DeepFakes and a summary of the technology that underpins it. We provide information on various DeepFake detection algorithms, identify potential dangers of this frightening modern phenomenon, and highlight future research challenges.