Russian Federation
Russian Federation
UDC 34
The article examines the use of artificial intelligence to analyze traces of deepfake technology in cyberterrorism investigations. The authors analyze artificial intelligence algorithms (hereinafter referred to as AI) based on neural networks to identify artifacts in audio and video materials generated by deepfake. A model of automated trace analysis has been proposed, which increases the effectiveness of pre-trial investigation.
artificial intelligence, deepfake, cyber terrorism, trace analysis, neural networks, crime investigation, digital forensics
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