Digital Forensics for the Detection of Deepfake Image Manipulations

• Tipo: Artigo em Revista Científica Internacional
• Data: 2022

Autores

Ferreira, S (Autor) Outra; Antunes, M (Autor) Outra; Manuel E Correia (Autor) FCUP

Revista

Título: ERCIM NEWS

Vol. 2022

Páginas: 13-14

ISSN: 0926-4981

Indexação

ISI Web of Knowledge - 0 Citações

Classificação Científica

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia de computadores

FOS: Ciências exactas e naturais > Ciências da computação e da informação

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 2