On Information Hiding in Natural Language Systems
With data privacy becoming more of a necessity than a luxury in today's digital world, research on more robust models of privacy preservation and information security is on the rise. In this paper, we take a look at Natural Language Steganography (NLS) methods, which perform information hiding...
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| Format: | Article |
| Language: | English |
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LibraryPress@UF
2022-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/130602 |
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| _version_ | 1850271003705344000 |
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| author | Geetanjali Bihani Julia Taylor Rayz |
| author_facet | Geetanjali Bihani Julia Taylor Rayz |
| author_sort | Geetanjali Bihani |
| collection | DOAJ |
| description | With data privacy becoming more of a necessity than a luxury in today's digital world, research on more robust models of privacy preservation and information security is on the rise. In this paper, we take a look at Natural Language Steganography (NLS) methods, which perform information hiding in natural language systems, as a means to achieve data security as well as confidentiality. We summarize primary challenges regarding the secrecy and imperceptibility requirements of these systems and propose potential directions of improvement, specifically targeting steganographic text quality. We believe that this study will act as an appropriate framework to build more resilient models of Natural Language Steganography, working towards instilling security within natural language-based neural models. |
| format | Article |
| id | doaj-art-ee6e4dd89ce5491dab5923cb6b9b6a41 |
| institution | OA Journals |
| issn | 2334-0754 2334-0762 |
| language | English |
| publishDate | 2022-05-01 |
| publisher | LibraryPress@UF |
| record_format | Article |
| series | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| spelling | doaj-art-ee6e4dd89ce5491dab5923cb6b9b6a412025-08-20T01:52:22ZengLibraryPress@UFProceedings of the International Florida Artificial Intelligence Research Society Conference2334-07542334-07622022-05-013510.32473/flairs.v35i.13060266801On Information Hiding in Natural Language SystemsGeetanjali Bihani0Julia Taylor Rayz1Purdue UniversityPurdue UniversityWith data privacy becoming more of a necessity than a luxury in today's digital world, research on more robust models of privacy preservation and information security is on the rise. In this paper, we take a look at Natural Language Steganography (NLS) methods, which perform information hiding in natural language systems, as a means to achieve data security as well as confidentiality. We summarize primary challenges regarding the secrecy and imperceptibility requirements of these systems and propose potential directions of improvement, specifically targeting steganographic text quality. We believe that this study will act as an appropriate framework to build more resilient models of Natural Language Steganography, working towards instilling security within natural language-based neural models.https://journals.flvc.org/FLAIRS/article/view/130602 |
| spellingShingle | Geetanjali Bihani Julia Taylor Rayz On Information Hiding in Natural Language Systems Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| title | On Information Hiding in Natural Language Systems |
| title_full | On Information Hiding in Natural Language Systems |
| title_fullStr | On Information Hiding in Natural Language Systems |
| title_full_unstemmed | On Information Hiding in Natural Language Systems |
| title_short | On Information Hiding in Natural Language Systems |
| title_sort | on information hiding in natural language systems |
| url | https://journals.flvc.org/FLAIRS/article/view/130602 |
| work_keys_str_mv | AT geetanjalibihani oninformationhidinginnaturallanguagesystems AT juliataylorrayz oninformationhidinginnaturallanguagesystems |