A High-Security Privacy Image Encryption Algorithm Based on Chaos and Double Encryption Strategy

Zhiqiang Cheng, Wencheng Wang, Yuezhang Dai, Lun Li
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引用次数: 2

Abstract

Faces are widely used in information recognition and other fields. Due to the openness of the Internet, ensuring that face information is not stolen by criminals is a hot issue. The traditional encryption method only encrypts the whole area of the image and ignores some features of the face. This paper proposes a double-encrypted face image encryption algorithm. The contour features of the face are extracted, followed by two rounds of encryption. The first round of encryption algorithm encrypts the identified face image, and the second round of encryption algorithm encrypts the entire image. The encryption algorithm used is scrambling and diffusion at the same time, and the keystream of the cryptosystem is generated by 2D SF-SIMM. The design structure of this cryptosystem increases security, and the attacker needs to crack two rounds of the algorithm to get the original face image.
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一种基于混沌和双重加密策略的高安全隐私图像加密算法
人脸在信息识别等领域有着广泛的应用。由于互联网的开放性,确保人脸信息不被犯罪分子窃取是一个热点问题。传统的加密方法只对图像的整个区域进行加密,而忽略了人脸的某些特征。提出了一种双重加密的人脸图像加密算法。提取人脸的轮廓特征,然后进行两轮加密。第一轮加密算法对识别的人脸图像进行加密,第二轮加密算法对整个图像进行加密。采用置乱与扩散并行的加密算法,密码系统的密钥流由二维SF-SIMM生成。该密码系统的设计结构增加了安全性,攻击者需要破解两轮算法才能获得原始人脸图像。
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