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אקדמי בכיר

Discussion Paper

The Threat of Real Time Deepfakes

Guy Frankovits, Yisroel Mirsky

Generative deep learning models are able to create realistic audio and video. This technology has been used to impersonate the faces and voices of individuals. These "deepfakes"are being used to spread misinformation, enable scams, perform fraud, and blackmail the innocent. The technology continues to advance and today attackers have the ability to generate deepfakes in real-Time. This new capability poses a significant threat to society as attackers begin to exploit the technology in advances social engineering attacks. In this paper, we discuss the implications of this emerging threat, identify the challenges with preventing these attacks and suggest a better direction for researching stronger defences.

שפת פרסום אנגלית
דפים 20-23
סטטוס פרסום פורסם - 10.07.2023

Keywords

Deepfake
cyber security
deep fake
impersonation
phishing
social engineering

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Information Systems
Software

Sustainable Development Goals

SDG 16 - Peace, Justice and Strong Institutions
גישה למסמך
10.1145/3595353.3595881
קבצים וקישורים אחרים
Link to publication in Scopus