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TRIST: Circumventing Censorship with Transcoding-Resistant Image Steganography
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You are not authorized to post comments.Christopher Connolly, Patrick Lincoln, Ian Mason, and Vinod Yegneswaran, SRI International
We explore the viability of extending state-of-the-art image steganography techniques for bypassing censorship. Our quest for a scalable steganographic technique, which is robust against automated transcoders that reformat images in-flight, led to the implementation of a prototype system called TRIST that embeds data by selectively modifying bits in the frequency domain of the image. By choosing heavily quantized frequency components at low JPEG quality values, we can robustly embed information within images, and demonstrate how this information survives a number of transformations, including transcoding to higher JPEG quality levels and other perturbations, such as image resizing (within bounds).
We evaluate our system by building a prototype of a transcoding-resistant steganography library that we integrate with StegoTorus. Our evaluations demonstrate that StegoTorus integrated with TRIST provides reasonable bandwidth capable of supporting basic web surfing along with transcoding resilience. Finally, we describe how our system can be adapted to counter state-of-theart statistical attacks such as blockiness detectors.
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author = {Christopher Connolly and Patrick Lincoln and Ian Mason and Vinod Yegneswaran},
title = {{TRIST}: Circumventing Censorship with {Transcoding-Resistant} Image Steganography},
booktitle = {4th USENIX Workshop on Free and Open Communications on the Internet (FOCI 14)},
year = {2014},
address = {San Diego, CA},
url = {https://www.usenix.org/conference/foci14/workshop-program/presentation/connolly},
publisher = {USENIX Association},
month = aug
}
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