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

Oleksiy Koval; Sviatoslav Voloshynovskiy

doi:10.1117/12.838825

27 January 2010 Multimodal object authentication with random projections: a worst-case approach

Oleksiy Koval, Sviatoslav Voloshynovskiy

Proceedings Volume 7541, Media Forensics and Security II; 75410D (2010) https://doi.org/10.1117/12.838825
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

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 Neyman- Pearson 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.

Citation Download Citation

Oleksiy Koval and Sviatoslav Voloshynovskiy "Multimodal object authentication with random projections: a worst-case approach", Proc. SPIE 7541, Media Forensics and Security II, 75410D (27 January 2010); https://doi.org/10.1117/12.838825

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