We propose a new statistic to improve the pooled version of the triangle test used to combat the fingerprint-copy counterforensic attack against photoresponse nonuniformity based camera identification [1]. As opposed to the original version of the test, the new statistic exploits the one-tailed nature of the test, weighting differently positive and negative deviations from the expected value of the correlation between the image under analysis and the candidate images, i.e., those image suspected to have been used during the attack. The experimental results confirm the superior performance of the new test, especially when the conditions of the test are challenging ones, that is when the number of images used for the fingerprint-copy attack is large and the size of the image under test is small.

Barni, M., Santoyo-Garcia, H., Tondi, B. (2018). An improved statistic for the pooled triangle test against PRNU-Copy Attack. IEEE SIGNAL PROCESSING LETTERS, 25(10), 1435-1439 [10.1109/LSP.2018.2863045].

An improved statistic for the pooled triangle test against PRNU-Copy Attack

Barni M.;Tondi B.
2018-01-01

Abstract

We propose a new statistic to improve the pooled version of the triangle test used to combat the fingerprint-copy counterforensic attack against photoresponse nonuniformity based camera identification [1]. As opposed to the original version of the test, the new statistic exploits the one-tailed nature of the test, weighting differently positive and negative deviations from the expected value of the correlation between the image under analysis and the candidate images, i.e., those image suspected to have been used during the attack. The experimental results confirm the superior performance of the new test, especially when the conditions of the test are challenging ones, that is when the number of images used for the fingerprint-copy attack is large and the size of the image under test is small.
2018
Barni, M., Santoyo-Garcia, H., Tondi, B. (2018). An improved statistic for the pooled triangle test against PRNU-Copy Attack. IEEE SIGNAL PROCESSING LETTERS, 25(10), 1435-1439 [10.1109/LSP.2018.2863045].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1080735