Visible to the public Adversarial Multimedia Forensics: Overview and Challenges Ahead

TitleAdversarial Multimedia Forensics: Overview and Challenges Ahead
Publication TypeConference Paper
Year of Publication2018
AuthorsBarni, M., Stamm, M. C., Tondi, B.
Conference Name2018 26th European Signal Processing Conference (EUSIPCO)
Keywordsadversarial environment, adversarial multimedia forensics, Cameras, counter-forensic tools, Detectors, digital forensics, distortion, forensic analysis, forensic techniques, Forensics, game theory, Human Behavior, information forensics, information retrieval, Metrics, multimedia computing, multimedia documents, multimedia forensics tools, pubcrawl, resilience, Scalability, Signal processing algorithms, tampering detection, Tools, Transform coding
Abstract

In recent decades, a significant research effort has been devoted to the development of forensic tools for retrieving information and detecting possible tampering of multimedia documents. A number of counter-forensic tools have been developed as well in order to impede a correct analysis. Such tools are often very effective due to the vulnerability of multimedia forensics tools, which are not designed to work in an adversarial environment. In this scenario, developing forensic techniques capable of granting good performance even in the presence of an adversary aiming at impeding the forensic analysis, is becoming a necessity. This turns out to be a difficult task, given the weakness of the traces the forensic analysis usually relies on. The goal of this paper is to provide an overview of the advances made over the last decade in the field of adversarial multimedia forensics. We first consider the view points of the forensic analyst and the attacker independently, then we review some of the attempts made to simultaneously take into account both perspectives by resorting to game theory. Eventually, we discuss the hottest open problems and outline possible paths for future research.

URLhttps://ieeexplore.ieee.org/document/8553305
DOI10.23919/EUSIPCO.2018.8553305
Citation Keybarni_adversarial_2018