Multimodal object authentication with random projections: a worst-case approach

In this paper, we consider a forensic multimodal authentication framework based on binary hypothesis testing in random projections domain. We formulate a generic authentication problem taking into account several possible counterfeiting strategies. The authentication performance analysis is accomplished in the scope of NeymanPearson framework as well as for an average probability of error for both direct and random projections domains. Worst-case attack/acquisition channel leading to the worst performance loss in terms of Bhattacharyya distance reduction is presented. The obtained theoretical findings are also confirmed by results of computer simulation.

• Type: Conference
• Year: 2010
• Where: MEDIAFORENSICS
• Authors: Oleksiy J. Koval, Sviatoslav Voloshynovskiy
• Keywords: Authentication, Forensic Engineering, MEDIAFORENSICS 2010, Multimodal Authentication Framework, Random Projections Domains