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Selection-channel-aware reverse JPEG compatibility for highly reliable steganalysis of JPEG Images

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Abstract

This paper deeply studies the principle of the recent reverse JPEG compatibility attack [1]. This analysis allows us to cast the problem of hidden data detection in DCT coefficients within hypothesis testing theory. The optimal LR test, thought efficient, is rather computa-tionally expensive. Therefore, mild assumptions are used to simplify the detection problem dramatically and design a test that is simple yet extremely efficient and reliable. It is shown that the proposed detector is way more efficient than the original test [1], and allows highly reliable detection of data hidden within JPEG images.
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Dates and versions

hal-02460091 , version 1 (29-01-2020)
hal-02460091 , version 2 (06-02-2020)
hal-02460091 , version 3 (07-02-2020)

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Rémi Cogranne. Selection-channel-aware reverse JPEG compatibility for highly reliable steganalysis of JPEG Images. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020, Barcelone, Spain. ⟨10.1109/ICASSP40776.2020.9054061⟩. ⟨hal-02460091v3⟩
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