Article

Lost in just the translation

Authors:

Christian Grothoff,

Mikhail Atallah,

Krista GrothoffAuthors Info & Claims

SAC '06: Proceedings of the 2006 ACM symposium on Applied computing

Pages 338 - 345

https://doi.org/10.1145/1141277.1141358

Published: 23 April 2006 Publication History

Abstract

This paper describes the design and implementation of a scheme for hiding information in translated natural language text, and presents experimental results using the implemented system. Unlike the previous work, which required the presence of both the source and the translation, the protocol presented in this paper requires only the translated text for recovering the hidden message. This is a significant improvement, as transmitting the source text was both wasteful of resources and less secure. The security of the system is now improved not only because the source text is no longer available to the adversary, but also because a broader repertoire of defenses (such as mixing human and machine translation) can now be used.

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Cited By

Xiang LOu CZeng D(2024)Linguistic Steganography: Hiding Information in Syntax SpaceIEEE Signal Processing Letters10.1109/LSP.2023.334715331(261-265)Online publication date: 2024
https://doi.org/10.1109/LSP.2023.3347153
Öztürk EMesut AFıdan Ö(2024)A Character Based Steganography Using Masked Language ModelingIEEE Access10.1109/ACCESS.2024.335471012(14248-14259)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3354710
Chang C(2023)Reversible Linguistic Steganography With Bayesian Masked Language ModelingIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.316223310:2(714-723)Online publication date: Apr-2023
https://doi.org/10.1109/TCSS.2022.3162233
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Index Terms

Lost in just the translation

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cover image ACM Conferences

SAC '06: Proceedings of the 2006 ACM symposium on Applied computing

April 2006

1967 pages

ISBN:1595931082

DOI:10.1145/1141277

Conference Chair:
Hisham M. Haddad
Kennesaw State University, Kennesaw, Georgia

Copyright © 2006 ACM.

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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New York, NY, United States

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Published: 23 April 2006

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SAC06: The 2006 ACM Symposium on Applied Computing

April 23 - 27, 2006

Dijon, France

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

Xiang LOu CZeng D(2024)Linguistic Steganography: Hiding Information in Syntax SpaceIEEE Signal Processing Letters10.1109/LSP.2023.334715331(261-265)Online publication date: 2024
https://doi.org/10.1109/LSP.2023.3347153
Öztürk EMesut AFıdan Ö(2024)A Character Based Steganography Using Masked Language ModelingIEEE Access10.1109/ACCESS.2024.335471012(14248-14259)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3354710
Chang C(2023)Reversible Linguistic Steganography With Bayesian Masked Language ModelingIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.316223310:2(714-723)Online publication date: Apr-2023
https://doi.org/10.1109/TCSS.2022.3162233
Lu TLiu GZhang RLi PJu T(2023)Robust Secret Data Hiding for Transformer-based Neural Machine Translation2023 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN54540.2023.10191984(1-8)Online publication date: 18-Jun-2023
https://doi.org/10.1109/IJCNN54540.2023.10191984
Thabit RUdzir NYasin SAsmawi ARoslan NDin R(2021)A Comparative Analysis of Arabic Text SteganographyApplied Sciences10.3390/app1115685111:15(6851)Online publication date: 26-Jul-2021
https://doi.org/10.3390/app11156851
Yang ZGuo XChen ZHuang YZhang Y(2019)RNN-Stega: Linguistic Steganography Based on Recurrent Neural NetworksIEEE Transactions on Information Forensics and Security10.1109/TIFS.2018.287174614:5(1280-1295)Online publication date: May-2019
https://doi.org/10.1109/TIFS.2018.2871746
Wu NLiu ZMa WShang PYang ZFan J(2019)Research on Coverless Text Steganography Based on Multi-rule Language Models Alternation2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)10.1109/ICMCCE48743.2019.00184(803-8033)Online publication date: Oct-2019
https://doi.org/10.1109/ICMCCE48743.2019.00184
Wu NMa WLiu ZShang PYang ZFan J(2019)Coverless Text Steganography Based on Half Frequency Crossover Rule2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)10.1109/ICMCCE48743.2019.00168(726-7263)Online publication date: Oct-2019
https://doi.org/10.1109/ICMCCE48743.2019.00168
Wu NShang PFan JYang ZMa WLiu Z(2019)Coverless Text Steganography Based on Maximum Variable Bit Embedding RulesJournal of Physics: Conference Series10.1088/1742-6596/1237/2/0220781237(022078)Online publication date: 12-Jul-2019
https://doi.org/10.1088/1742-6596/1237/2/022078
Wu NShang PFan JYang ZMa WLiu Z(2019)Research on Coverless Text Steganography Based on Single Bit RulesJournal of Physics: Conference Series10.1088/1742-6596/1237/2/0220771237(022077)Online publication date: 12-Jul-2019
https://doi.org/10.1088/1742-6596/1237/2/022077
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