图像隐形图像没有嵌入运营商的秘密信息,以便在网络中进行安全通信
Yangwen Zhang1,2, Yuling Chen1,2, Hui Dou1,2
1State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China.
PloS one
|September 6, 2024
概括
这项研究引入了一种没有嵌入方法的新型隐形图谱,以提高图像中的秘密数据容量和提取精度. 该技术通过提高信息安全性和可靠性来增强安全的网络通信.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 数字图像处理 数字图像处理
背景情况:
- 传统的石学对石分析很脆弱.
- 无嵌入式隐形图 (SWE) 提供了更好的检测阻力.
- 现有的SWE方法存在低数据容量和提取困难.
研究的目的:
- 为了提高图像隐形图像中的数据容量和提取精度,而不是嵌入.
- 通过先进的隐形图形学来提高安全网络通信的性能.
- 开发一种强大而有效的方法,将秘密信息嵌入到图像中.
主要方法:
- 利用载体特征生成一个载体秘密张量.
- 使用瓦瑟斯坦距离作为歧视约束.
- 实施重量剪切以提高信息容量和提取精度.
主要成果:
- 在2304位的容量下,数据提取精度提高了10.03%.
- 证明了拟议的石学方法的有效性和普遍性.
- 验证了增强的信息容量和提取精度,以确保安全通信.
结论:
- 拟议的图像隐形图像无嵌入方法显著提高了数据容量和提取精度.
- 这项研究提出了一种新的智能隐形图模型,用于安全的网络通信.
- 该技术为增强数字传输信息安全提供了一个有前途的解决方案.
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