Digital Forensics for the Detection of Deepfake Image Manipulations

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Ferreira, S (Author) Other; Antunes, M (Author) Other; Manuel E Correia (Author) FCUP

Journal

Title: ERCIM NEWS

Vol. 2022

Pages: 13-14

ISSN: 0926-4981

Indexing

ISI Web of Knowledge - 0 Citations

Scientific classification

CORDIS: Technological sciences > Engineering > Computer engineering

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-00W-EAY

Abstract (EN): Tampered multimedia content is increasingly being used in a broad range of cybercrime activities. The spread of fake news, misinformation, digital kidnapping, and ransomware-related crimes are among the most recurrent crimes in which manipulated digital photos are being used as an attacking vector. One of the linchpins of accurately detecting manipulated multimedia content is the use of machine learning and deep learning algorithms. This work proposed a dataset of photos and videos suitable for digital forensics, which has been used to benchmark Support Vector Machines (SVM) and Convolution Neural Networks algorithms (CNN). An SVM-based module for the Autopsy digital forensics open-source application has also been developed. This was evaluated as a very capable and useful forensic tool, winning second place on the OSDFCon international Autopsy modules competition.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 2