使用Pseudo-Zernike时刻和双树复杂波纹转换的强大的半脆弱水标系统用于社交媒体内容认证
L Agilandeeswari1, M Prabukumar1, Farhan A Alenizi2
1School of Information Technology and Engineering (SITE), Vellore Institute of Technology, Vellore, 632014 India.
Multimedia tools and applications
|June 26, 2023
概括
这项研究引入了一种新的多生物识别水印系统,用于安全验证社交媒体内容. 该系统增强了对各种攻击的稳定性和改检测,确保数字图像的完整性.
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:
- 移动设备和在线社交网络 (OSN) 的普及导致了数字图像共享的激增.
- 数字图像处理工具可能会损害内容隐私,需要强大的身份验证和所有权验证方法.
- 现有的数字水印系统难以平衡不可察觉性,稳定性,有效载荷和改检测/恢复,特别是针对几何攻击.
研究的目的:
- 提出一种新的基于多生物识别的半脆弱水印系统,用于社交媒体数据的内容认证.
- 解决现有系统在处理改检测,恢复和几何攻击方面的局限性.
- 通过整合多个生物识别特征和先进的转换技术来增强安全性和稳健性.
主要方法:
- 使用双树复杂波纹变形 (DTCWT) 实现高嵌入容量和伪泽尼克时刻 (PZM) 实现旋转和噪声不变.
- 采用四个水标 (用户标志/图像,指纹,元数据,原始图像的PZM特征) 用于多级认证和改定位.
- 通过将水印转换为Zernike时刻,Arnold加密图像和SHA输出,以最佳的嵌入位置确定,增强了安全性.
主要成果:
- 与传统的水印系统相比,拟议的系统在内容认证方面表现出优异的性能.
- 对有意和无意的攻击,包括几何扭曲,实现了高强度.
- 成功实施了改本地化和多级认证,确保了数字图像的完整性和所有权.
结论:
- 开发的多生物识别水印系统有效地解决了社交媒体内容认证现有方法的缺陷.
- DTCWT,PZM和多生物识别水印的组合为数字图像完整性提供了强大而安全的解决方案.
- 该系统提供了一种有前途的方法,用于在广泛的在线共享时代保护数字内容.
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