Digital watermarking method based on context word prediction and window compression coding
To address the problems of limited number of substitutable words and low watermark extraction efficiency in the existing natural language digital watermarking methods, a creative method based on context word prediction and window compression coding was proposed.Firstly, the contextual semantic featu...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2024-02-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024033/ |
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| _version_ | 1841540070397444096 |
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| author | Lingyun XIANG Minghao HUANG Chenling ZHANG Chunfang YANG |
| author_facet | Lingyun XIANG Minghao HUANG Chenling ZHANG Chunfang YANG |
| author_sort | Lingyun XIANG |
| collection | DOAJ |
| description | To address the problems of limited number of substitutable words and low watermark extraction efficiency in the existing natural language digital watermarking methods, a creative method based on context word prediction and window compression coding was proposed.Firstly, the contextual semantic features of each word in the original text were automatically learned through a neural network language model, and then the candidate word set for each word was predicted, thus the number of substitutable words that could be utilized for carrying watermark information was expanded.Meanwhile, considering the difference of the semantic impact caused by the substitutions of candidate words at different positions, the watermark information was embedded into each window containing several words, and the selection of candidate words for watermark embedding was optimized by the similarity between sentences before and after performing word substitutions.Finally, a semantic-independent window compression coding method was proposed, which encoded each window as appointed watermark information in terms of the character information of words contained in the window.So that during watermark extraction, the dependence on the original context at the position of word substitution was eliminated.The experimental results show that the proposed method greatly improves the watermark extraction efficiency with high embedding capacity and text quality. |
| format | Article |
| id | doaj-art-c66bf2a15e864836a9393d1abebf4b04 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2024-02-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-c66bf2a15e864836a9393d1abebf4b042025-01-14T06:22:10ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-02-014521322459383525Digital watermarking method based on context word prediction and window compression codingLingyun XIANGMinghao HUANGChenling ZHANGChunfang YANGTo address the problems of limited number of substitutable words and low watermark extraction efficiency in the existing natural language digital watermarking methods, a creative method based on context word prediction and window compression coding was proposed.Firstly, the contextual semantic features of each word in the original text were automatically learned through a neural network language model, and then the candidate word set for each word was predicted, thus the number of substitutable words that could be utilized for carrying watermark information was expanded.Meanwhile, considering the difference of the semantic impact caused by the substitutions of candidate words at different positions, the watermark information was embedded into each window containing several words, and the selection of candidate words for watermark embedding was optimized by the similarity between sentences before and after performing word substitutions.Finally, a semantic-independent window compression coding method was proposed, which encoded each window as appointed watermark information in terms of the character information of words contained in the window.So that during watermark extraction, the dependence on the original context at the position of word substitution was eliminated.The experimental results show that the proposed method greatly improves the watermark extraction efficiency with high embedding capacity and text quality.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024033/digital watermarkingword substitutionword predictionwatermarking coding |
| spellingShingle | Lingyun XIANG Minghao HUANG Chenling ZHANG Chunfang YANG Digital watermarking method based on context word prediction and window compression coding Tongxin xuebao digital watermarking word substitution word prediction watermarking coding |
| title | Digital watermarking method based on context word prediction and window compression coding |
| title_full | Digital watermarking method based on context word prediction and window compression coding |
| title_fullStr | Digital watermarking method based on context word prediction and window compression coding |
| title_full_unstemmed | Digital watermarking method based on context word prediction and window compression coding |
| title_short | Digital watermarking method based on context word prediction and window compression coding |
| title_sort | digital watermarking method based on context word prediction and window compression coding |
| topic | digital watermarking word substitution word prediction watermarking coding |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024033/ |
| work_keys_str_mv | AT lingyunxiang digitalwatermarkingmethodbasedoncontextwordpredictionandwindowcompressioncoding AT minghaohuang digitalwatermarkingmethodbasedoncontextwordpredictionandwindowcompressioncoding AT chenlingzhang digitalwatermarkingmethodbasedoncontextwordpredictionandwindowcompressioncoding AT chunfangyang digitalwatermarkingmethodbasedoncontextwordpredictionandwindowcompressioncoding |