Capacity laws for steganography in a crowd

A steganographer is not only hiding a payload inside their cover, they are also hiding themselves amongst the non-steganographers. In this paper we study asymptotic rates of growth for steganographic data – analogous to the classical Square-Root Law – in the context of a ‘crowd’ of K actors, one of...

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Main Author: Ker, A
Format: Conference item
Language:English
Published: Association for Computing Machinery 2022
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author Ker, A
author_facet Ker, A
author_sort Ker, A
collection OXFORD
description A steganographer is not only hiding a payload inside their cover, they are also hiding themselves amongst the non-steganographers. In this paper we study asymptotic rates of growth for steganographic data – analogous to the classical Square-Root Law – in the context of a ‘crowd’ of K actors, one of whom is a steganographer. This converts steganalysis from a binary to a K-class classification problem, and requires some new information-theoretic tools. Intuition suggests that larger K should enable the steganographer to hide a larger payload, since their stego signal is mixed in with larger amounts of cover noise from the other actors. We show that this is indeed the case, in a simple independent-pixel model, with payload growing at O(sqrt(logK)) times the classical Square-Root capacity in the case of homogeneous actors. Further, examining the effects of heterogeneity reveals a subtle dependence on the detector’s knowledge about the payload size, and the need for them to use negative as well as positive information to identify the steganographer.
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spelling oxford-uuid:b6c1bfa0-33d6-4885-9c08-988fa68cbecd2022-06-27T16:12:29ZCapacity laws for steganography in a crowdConference itemhttp://purl.org/coar/resource_type/c_5794uuid:b6c1bfa0-33d6-4885-9c08-988fa68cbecdEnglishSymplectic ElementsAssociation for Computing Machinery2022Ker, AA steganographer is not only hiding a payload inside their cover, they are also hiding themselves amongst the non-steganographers. In this paper we study asymptotic rates of growth for steganographic data – analogous to the classical Square-Root Law – in the context of a ‘crowd’ of K actors, one of whom is a steganographer. This converts steganalysis from a binary to a K-class classification problem, and requires some new information-theoretic tools. Intuition suggests that larger K should enable the steganographer to hide a larger payload, since their stego signal is mixed in with larger amounts of cover noise from the other actors. We show that this is indeed the case, in a simple independent-pixel model, with payload growing at O(sqrt(logK)) times the classical Square-Root capacity in the case of homogeneous actors. Further, examining the effects of heterogeneity reveals a subtle dependence on the detector’s knowledge about the payload size, and the need for them to use negative as well as positive information to identify the steganographer.
spellingShingle Ker, A
Capacity laws for steganography in a crowd
title Capacity laws for steganography in a crowd
title_full Capacity laws for steganography in a crowd
title_fullStr Capacity laws for steganography in a crowd
title_full_unstemmed Capacity laws for steganography in a crowd
title_short Capacity laws for steganography in a crowd
title_sort capacity laws for steganography in a crowd
work_keys_str_mv AT kera capacitylawsforsteganographyinacrowd