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Comparison of Decision Fusion Methods for Steganalysis

2016    Atil, Ilkay; Esen, Ersin

In this work, we compare the effect of using different decision fusion methods on the detection performance of a steganalysis system. It has been shown that different steganalysis features has different detection rates for different steganography methods. Therefore, steganalysis systems combine different steganalysis features to obtain the best detection rates. We compare four different fusion methods; feature concatenation, weighted fusion, neural networks and Support Vector Machines (SVM). We have observed that it is best to use a non-linear fusion method because SVM and neural networks gives the best detection rates when compared to linear fusion methods.