期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
A Reliable NLP Scheme for English Text Watermarking Based on Contents Interrelationship 被引量:3
1
作者 Fahd N.Al-Wesabi Saleh Alzahrani +3 位作者 Fuad Alyarimi Mohammed Abdul Nadhem Nemri Mohammed M.Almazah 《Computer Systems Science & Engineering》 SCIE EI 2021年第6期297-311,共15页
In this paper,a combined approach CAZWNLP(a combined approach of zero-watermarking and natural language processing)has been developed for the tampering detection of English text exchanged through the Internet.The thir... In this paper,a combined approach CAZWNLP(a combined approach of zero-watermarking and natural language processing)has been developed for the tampering detection of English text exchanged through the Internet.The third gram of alphanumeric of the Markov model has been used with text-watermarking technologies to improve the performance and accuracy of tampering detection issues which are limited by the existing works reviewed in the literature of this study.The third-grade level of the Markov model has been used in this method as natural language processing technology to analyze an English text and extract the textual characteristics of the given contexts.Moreover,the extracted features have been utilized as watermark information and then validated with the attacked English text to detect any suspected tampering occurred on it.The embedding mechanism of CAZWNLP method will be achieved logically without effects or modifying the original text document to embed a watermark key.CAZWNLP has been implemented using VS code IDE with PHP.The experimental and simulation results using standard datasets of varying lengths show that the proposed approach can obtain high robustness and better detection accuracy of tampering common random insertion,reorder,and deletion attacks,e.g.,Comparison results with baseline approaches also show the advantages of the proposed approach. 展开更多
关键词 NLP text analysis English text watermarking ROBUSTNESS tampering detection
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部