Threat Models and Games for Adversarial Multimedia Forensics
Title | Threat Models and Games for Adversarial Multimedia Forensics |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Barni, Mauro, Tondi, Benedetta |
Conference Name | Proceedings of the 2Nd International Workshop on Multimedia Forensics and Security |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-5034-1 |
Keywords | adversarial signal processing, game theoretic security, game theory, human factors, Metrics, multimedia forensics, pubcrawl, Scalability, simultaneous and sequential games, threat models for multimedia forensics |
Abstract | We define a number of threat models to describe the goals, the available information and the actions characterising the behaviour of a possible attacker in multimedia forensic scenarios. We distinguish between an investigative scenario, wherein the forensic analysis is used to guide the investigative action and a use-in-court scenario, wherein forensic evidence must be defended during a lawsuit. We argue that the goals and actions of the attacker in these two cases are very different, thus exposing the forensic analyst to different challenges. Distinction is also made between model-based techniques and techniques based on machine learning, showing how in the latter case the necessity of defining a proper training set enriches the set of actions available to the attacker. By leveraging on the previous analysis, we then introduce some game-theoretic models to describe the interaction between the forensic analyst and the attacker in the investigative and use-in-court scenarios. |
URL | http://doi.acm.org/10.1145/3078897.3080533 |
DOI | 10.1145/3078897.3080533 |
Citation Key | barni_threat_2017 |