Deepfakes
Subject
Subject Source: Library of Congress Subject Headings
Found in 1 Collection or Record:
Penetration testing on AI-generated impersonating using spoofing, voice cloning, and real-time deepfaking, 2025
Item — Call number MU Thesis Sin
Identifier: b7932420
Abstract
AI-driven phishing, spoofing, and deepfake attacks pose escalating risks across email systems, educational platforms, and digital social spaces. Publicly available tools now enable adversaries to generate convincing impersonations, bypass conventional defenses, and exploit human trust through email spoofing, voice cloning, and real-time face swapping. These threats highlight the limitations of traditional security awareness training and automated filters when faced with
adaptive,...
Dates:
2025