通过应用个人信息和扬声器验证系统的智能图像加密技术
Shih-Yu Li1, Chun-Hung Lee2, Lap-Mou Tam3,4
1Graduate Institute of Manufacturing Technology, National Taipei University of Technology, Taipei 10608, Taiwan.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
本研究介绍了一个安全的图像保护框架,使用用户帐户,密码和语音生物识别来实现强大的加密. 开发的系统通过超混乱系统和生物识别功能来增强图像安全性.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 密码学 密码学 密码学 密码学
背景情况:
- 数字图像安全对于保护敏感信息至关重要.
- 现有的加密方法需要强大的身份验证和密钥管理.
研究的目的:
- 开发一个新的个人形象保护和授权框架.
- 通过使用用户凭证和生物识别数据的组合来增强图像加密安全性.
主要方法:
- 实施了两种系统框架,包括扬声器验证和图像加密.
- 使用用户帐户,密码和语音 (I-向量) 作为加密密钥.
- 采用超混沌系统用于私钥生成和图像混合/加密.
主要成果:
- 通过整合生物特征实现了强大的图像加密.
- 在密码图像中显示较低的相关性,表明有效的加密.
- 使用标准USC-SIPI图像数据集验证了框架的效率.
结论:
- 开发的框架为个人形象保护提供了安全有效的解决方案.
- 结合多因素认证 (凭证和生物识别) 显著提高了加密的稳定性.
- 拟议的方法有效保护数字图像免受未经授权的访问.
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