PRNU Anonymous Algorithm Used for Privacy Protection in Biometric Authentication Systems

IF 5.6 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal on Semantic Web and Information Systems Pub Date : 2023-02-10 DOI:10.4018/ijswis.317928
Jian Li, X. Zhang, Bin Ma, Meihong Yang, Chunpeng Wang, Yang Liu, Xinan Cui, Xiaotong Yang
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Abstract

The photo response non-uniformity (PRNU) is used to connect an image to its source sensor. In this paper, researchers propose a PRNU anonymity method based on image segmentation to cut the relationship between the image and its source camera. According to the distribution rule of PRNU in the high and low frequency band of the image, the high and low frequency information of the part is also processed differently, which ensures the quality of the output image to a large extent. Experiments on the datasets show that the proposed method can preserve the biometric characteristics of the device while maintaining the anonymity of the device. Comparing with prior art, peak signal to noise ratio (PSNR) and cosine similarity are improved by 1.9 dB and 0.02 points, respectively.
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PRNU匿名算法在生物特征认证系统中的隐私保护
光响应非均匀性(PRNU)用于将图像与其源传感器连接起来。本文提出了一种基于图像分割的PRNU匿名方法来切断图像与源相机之间的关系。根据PRNU在图像高频段和低频段的分布规律,对零件的高频段和低频信息也进行了不同的处理,在很大程度上保证了输出图像的质量。在数据集上的实验表明,该方法可以在保持设备匿名性的同时保留设备的生物特征。与现有技术相比,峰值信噪比(PSNR)和余弦相似度分别提高了1.9 dB和0.02点。
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来源期刊
CiteScore
6.20
自引率
12.50%
发文量
51
审稿时长
20 months
期刊介绍: The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.
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