Scoop: Mitigation of Recapture Attacks on Provenance-Based Media Authentication

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Authors: Yuxin (Myles) Liu, Habiba Farrukh, Ardalan Amiri Sani, Sharad Agarwal, Gene Tsudik
Cited by: 1
References: 6

Abstract

Today, digital media is constantly produced and consumed in enormous volumes. We rely heavily on smartphone images and videos from daily social sharing and entertainment to critical tasks, such as verifying a new Uber driver's identity, online banking operations, or providing evidence in legal proceedings. However, continuous advances in digital media manipulation, especially with the introduction of generative AI, yield increasingly sophisticated deepfakes [14]. This poses a massive threat to society, facilitating the spread of fake news, misinformation, and personal slander that greatly endanger our perception of reality. Restoring trust in visual content has immense societal benefits, ensuring that organizations, institutions, and individuals can once again safely rely on the digital media they consume, restoring the principle of ''seeing is believing.'' A good solution must provide a reliable way to verify where, when, and how a piece of media was created, rather than relying solely on deepfake detection algorithms, which is unfortunately shaping up to be a never-ending arms race.

Fields of Study & Subjects

Digital Media Forensic Detection Advanced Malware Detection Techniques Digital and Cyber Forensics

Publication details

Journal / source
GetMobile Mobile Computing and Communications
Publisher
Association for Computing Machinery (ACM)
Volume
30
Issue
1
Pages
29–33
Publication date
23 April 2026
Language
EN