A privacy protection scheme for biological characteristics based on 4D hyperchaos and matrix transformation

IF 3.7 2区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Liyuzhen Yang , Zhenlong Man , Ze Yu , Ying Zhou
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Abstract

In recent years, biometrics have been widely used in areas such as access control, healthcare, finance and the Internet of Things (IoT). However, due to the uniqueness and immutability of biometric data, it poses a serious privacy risk once leaked. To address these challenges, this paper proposes an improved biometric image encryption scheme. We enhance the classical three-dimensional Chen’s chaotic system into a four-dimensional model to take full advantage of its high sensitivity and stochasticity. By integrating Latin matrices and semi-tensor products, we develop a novel encryption algorithm designed to protect multimodal biometrics. The method overcomes the instability of traditional cryptographic algorithms and ensures robust protection of biometric data when processing different images such as face, fingerprint, palmprint and iris. Various performance evaluations are also conducted, in which the image encryption time reaches 0.071s, the UACI values of the ciphertext images are close to 99.6094%, and the information entropy of the ciphertext images reaches 7.9980. The experimental results show that the algorithm has excellent encryption, security, and efficiency. This method provides a reliable solution for securing biometric data in an increasingly complex digital environment.
基于四维超混沌和矩阵变换的生物特征隐私保护方案
近年来,生物识别技术已广泛应用于门禁、医疗、金融和物联网等领域。然而,由于生物特征数据的唯一性和不变性,一旦泄露,将带来严重的隐私风险。为了解决这些问题,本文提出了一种改进的生物特征图像加密方案。我们将经典的三维陈氏混沌系统增强为四维模型,充分利用其高灵敏度和随机性。通过整合拉丁矩阵和半张量积,我们开发了一种新的加密算法,旨在保护多模态生物特征。该方法克服了传统密码算法的不稳定性,保证了对人脸、指纹、掌纹、虹膜等不同图像的生物特征数据的鲁棒性保护。并进行了各种性能评估,其中图像加密时间达到0.071s,密文图像的UACI值接近99.6094%,密文图像的信息熵达到7.9980。实验结果表明,该算法具有良好的密码性、安全性和高效性。该方法为在日益复杂的数字环境中保护生物识别数据提供了可靠的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Information Security and Applications
Journal of Information Security and Applications Computer Science-Computer Networks and Communications
CiteScore
10.90
自引率
5.40%
发文量
206
审稿时长
56 days
期刊介绍: Journal of Information Security and Applications (JISA) focuses on the original research and practice-driven applications with relevance to information security and applications. JISA provides a common linkage between a vibrant scientific and research community and industry professionals by offering a clear view on modern problems and challenges in information security, as well as identifying promising scientific and "best-practice" solutions. JISA issues offer a balance between original research work and innovative industrial approaches by internationally renowned information security experts and researchers.
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