research-article

A Comprehensive Study of Deep Learning-based Covert Communication

Authors:
Ashima Anand

Department of CSE, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

Department of CSE, Thapar Institute of Engineering and Technology, Patiala, Punjab, India
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,
Amit Kumar Singh

Department of CSE, National Institute of Technology Patna, Patna, Bihar, India

Department of CSE, National Institute of Technology Patna, Patna, Bihar, India

0000-0001-7359-2068
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ACM Transactions on Multimedia Computing, Communications, and Applications Volume 18 Issue 2sArticle No.: 118pp 1–19https://doi.org/10.1145/3508365

Published:06 October 2022Publication History

ACM Transactions on Multimedia Computing, Communications, and Applications

Abstract

Deep learning-based methods have been popular in multimedia analysis tasks, including classification, detection, segmentation, and so on. In addition to conventional applications, this model can be widely used for cover communication, i.e., information hiding. This article presents a review of deep learning-based covert communication scheme for protecting digital contents, devices, and models. In particular, we discuss the background knowledge, current applications, and constraints of existing deep learning-based information hiding schemes, identify recent challenges, and highlight possible research directions. Further, major role of deep learning in the area of information hiding are highlighted. Then, the contribution of surveyed scheme is also summarized and compared in the context of estimation of design objectives, approaches, evaluation metric, and weaknesses. We believe that this survey can pave the way to new research in this crucial field of information hiding in deep-learning environment.

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Index Terms

A Comprehensive Study of Deep Learning-based Covert Communication
1. Security and privacy
  1. Security services
    1. Digital rights management

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Published in
ACM Transactions on Multimedia Computing, Communications, and Applications Volume 18, Issue 2s
June 2022
383 pages
ISSN:1551-6857
EISSN:1551-6865
DOI:10.1145/3561949
Editor:
Abdulmotaleb El Saddik
Mohamed Bin Zayed University of Artificial Intelligence, UAE and University of Ottawa, Canada
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
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Publication History
- Published: 6 October 2022
- Online AM: 15 May 2022
- Accepted: 29 March 2022
- Revised: 27 March 2022
- Received: 13 October 2021
Published in tomm Volume 18, Issue 2s

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A Comprehensive Study of Deep Learning-based Covert Communication

ACM Transactions on Multimedia Computing, Communications, and Applications

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