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2020 | OriginalPaper | Chapter

File Forgery Detection Using a Weighted Rule-Based System

Authors : João Rafael Almeida, Olga Fajarda, José Luís Oliveira

Published in: Experimental IR Meets Multilinguality, Multimodality, and Interaction

Publisher: Springer International Publishing

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Abstract

The society is becoming increasingly dependent on digital data sources. However, our trust on the sources and its contents is only ensured if we can also rely on robust methods that prevent fraudulent forgery. As digital forensic experts are continually dealing with the detection of forged data, new fraudulent approaches are emerging, making it difficult to use automated systems. This security breach is also a good challenge that motivates researchers to explore computational solutions to efficiently address the problem. This paper describes a weighted rule-based system for file forgery detection. The system was developed and validated in the several tasks of ImageCLEFsecurity 2019 track challenge, where promising results were obtained.

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Title: File Forgery Detection Using a Weighted Rule-Based System
Authors: João Rafael Almeida
Olga Fajarda
José Luís Oliveira
Publisher: Springer International Publishing
Book: Experimental IR Meets Multilinguality, Multimodality, and Interaction
Print ISBN: 978-3-030-58218-0

Electronic ISBN: 978-3-030-58219-7

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-58219-7_8

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