摘要
针对目前基于修改式和生成式的文本水印算法普遍存在语义歧义较大、嵌入容量有限及安全性不足的问题,本文提出了一种基于混沌AES和同义词扩展的改进算法。该算法通过设计基于Sentence-Bert的上下文搭配机制,不仅能确保同义词替换后的上下文与原文语义高度相似,而且能判别同义词篡改后产生的语义歧义;将异体字作为同义词扩展,在不引起语义歧义的前提下,实现更多同义词替换,从而提升嵌入容量;利用混沌映射机制,升级传统MD5算法,构建混沌AES算法,实现对隐匿信息的加密保护,进而增加其破解难度。研究结果表明:对比同类算法,该算法在语义歧义、嵌入容量及安全性方面均有良好表现。
At present,the text watermarking algorithms based on modification and generation generally have the problems of large semantic ambiguity,limited embedding capacity and insufficient security.In view of the above problems,this paper proposes an improved algorithm based on chaotic AES and synonym expansion.By designing a context matching mechanism based on Sentence-Bert,the algorithm can not only ensure that the context after synonym replacement is highly similar to the semantics of the original text,but also distinguish the semantic ambiguity caused by synonym tampering.The variant characters are extended as synonyms,and more synonyms are replaced without causing semantic ambiguity,thereby improving the embedding capacity.By using chaotic mapping mechanism,the traditional MD5 algorithm is upgraded,and the chaotic AES algorithm is constructed to realize the encryption protection of hidden information,thereby increasing the difficulty of cracking.The research results show that compared with similar algorithms,the algorithm has good performance in semantic ambiguity,embedding capacity and security.
作者
李书明
李冰楠
杨超
LI Shu-ming;LI Bing-nan;YANG Chao(College of Computer and Information Engineering,Hubei Normal University,Huangshi 435002,China;College of Computer,Hubei University,Wuhan 430062,China;Hubei Key Laboratory of Big Data Intelligent Analysis and Industry Applications,Hubei University,Wuhan 430062,China)
出处
《吉林大学学报(工学版)》
北大核心
2025年第11期3715-3726,共12页
Journal of Jilin University:Engineering and Technology Edition
基金
湖北省教育厅2023年教学改革研究项目(2023388)
国家自然科学基金项目(61977021)。
