Hiding Data Hiding
This addresses the need for more secure and stealthy covert communication tools, particularly in security-sensitive domains, though it is an incremental advancement in data hiding techniques.
The paper tackles the problem of making data hiding tools undetectable by disguising them as a deep neural network for style transfer, enabling covert communication without arousing suspicion. Experimental results confirm the method's feasibility, applicability, and superiority.
Data hiding is the art of hiding secret data into a cover object such as digital image for covert communication. In this paper, we make the first step towards hiding ``data hiding'', which is totally different from many conventional works that directly embed secret data in a given cover object. In detail, we propose a novel method to disguise data hiding tools, including a data embedding tool and a data extraction tool, as a deep neural network (DNN) with an ordinary task (i.e., style transfer). After training the DNN for both style transfer and data hiding, while the DNN can transfer the style of an image to the target one, it can also hide secret data into a cover image or extract secret data from a stego image. In other words, the tools of data hiding are hidden to avoid arousing suspicion. Experimental results and analysis have shown the feasibility, applicability and superiority of the proposed method.