CovertSYS

A systematic covert communication approach for providing secure end-to-end conversation via social networks

Journal Article (2022)
Author(s)

Milad Taleby Ahvanooey (Nanjing University, Tsinghua University, Nanyang Technological University)

Mark Xuefang Zhu (Nanjing University)

Wojciech Mazurczyk (Warsaw University of Technology)

Qianmu Li (Nanjing University of Science and Technology)

Max Kilger (The University of Texas at San Antonio)

Kim Kwang Raymond Choo (The University of Texas at San Antonio)

Mauro Conti (University of Padua, TU Delft - Cyber Security)

Research Group
Cyber Security
DOI related publication
https://doi.org/10.1016/j.jisa.2022.103368 Final published version
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Publication Year
2022
Language
English
Research Group
Cyber Security
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Journal title
Journal of Information Security and Applications
Volume number
71
Article number
103368
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Abstract

While encryption can prevent unauthorized access to a secret message, it does not provide undetectability of covert communications over the public network. Implementing a highly latent data exchange, especially with low eavesdropping/discovery probability, is challenging for practical scenarios, such as social and political movements in authoritarian regimes, military operations, and privacy preservation. Moreover, the current literature suffers from a low embedding capacity and monolingual applicability, limiting the amount of hiding secret data within short text messages using state-of-the-art algorithms, e.g., linguistic-based, structural-based, or coverless-based solutions. In this paper, we present a systematic covert communication technique called CovertSYS that enables a multilingual secure end-to-end conversation via messaging or social network platforms. The CovertSYS functions by encrypting a confidential message using a multi-factor authentication scheme and converting the encoded binary data into hidden Unicode symbols to be transmitted under cover of short text messages. We then conduct extensive experiments to confirm the security and validity of the proposed technique against state-of-the-art approaches. Our experimental results show that the CovertSYS provides a superior mean performance of 91.53% by improving the criteria scores: embedding capacity rate of 100%, imperceptibility rate of 76.4%, and distortion robustness rate of 98.2%. Finally, we discuss the practical implications of the proposed technique compared to the existing text steganography methods.

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