What is it about?

Scientific papers are not free from overlaps and even re-inventions that utilize a different terminology. With the ever-growing pile of published papers, scientists need to keep track of the available research, understand links and similarities between existing ideas and concepts. Steganography is the science of concealed storage and transfer of secret data. Like other scientific domains which have a multi-decade history, steganography contains sub-domains which grew partially independent, resulting in redundancy. This is why our taxonomy draws links between these sub-disciplines. On an abstract level, we show that ideas from one domain can also be found in the other, and we find a common term for such ideas.

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Why is it important?

Redundancy in science means that someone conducts some research work again although he or she could benefit from already gained insights that might have been published outside the scope or terminology that a scientist usually utilizes. This does not solely consume time but also (tax) money, computing resources and energy. Steganography is no exception from this issue. Our work helps to transfer ideas from one steganography sub-domain to another, and when one domain is enhanced, one can determine if other domains benefit from this work as well. We further suggest a unified approach to describe steganography methods in order to aid replicability of scientific research.

Perspectives

Already during my time as a PhD student I was surprised to see scientific ideas being re-invented. Since then, redundancy in scientific research has become a strong driver for my own research. I want to identify and minimize scientific overlaps and re-inventions. I also aim to link overlapping research concepts, and make scientists benefit from these insights. The case of steganography was one I addressed in several papers, which finally led to this article that was created jointly with several specialists from that domain.

Prof. Dr. Steffen Wendzel
Universitat Ulm

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This page is a summary of: A Generic Taxonomy for Steganography Methods, ACM Computing Surveys, April 2025, ACM (Association for Computing Machinery),
DOI: 10.1145/3729165.
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