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 | 
