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Abstract: In this letter, we present a novel and extremely fast steganalysis method of Voice over IP (VoIP) streams, driven by the need for a quick and accurate detection of possible steganography in VoIP streams. We firstly analyzed the correlations in carriers. To better exploit the correlation in code-words, we mapped vector quantization code-words into a semantic space. In order to achieve high detection efficiency, only one hidden layer is utilized to extract the correlations between these code-words. Finally, based on the extracted correlation features, we used the softmax classifier to categorize the input stream carriers. To boost the performance of this proposed model, we incorporate a simple knowledge distillation framework into the training process. Experimental results show that the proposed method achieves state-of-the-art performance both in detection accuracy and efficiency. In particular, the processing time of this method on average is only about 0.05% when sample length is as short as 0.1s, attaching strong practical value to online serving of steganography monitor.
This paper was published as a journal paper in IEEE Signal Process Letter
@article{yang2019fast,
title={Fast Steganalysis Method for VoIP Streams},
author={Yang, Hao and Yang, ZhongLiang and Bao, YongJian and Liu, Sheng and Huang, YongFeng},
journal={IEEE Signal Processing Letters},
year={2019},
publisher={IEEE}
}