A secure data fitting scheme based on CKKS homomorphic encryption for medical IoT

IF 0.7 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of High Speed Networks Pub Date : 2022-11-08 DOI:10.3233/jhs-222016

Yunxuan Su, Xu An Wang, Weidong Du, Yunlong Ge, Kaiyang Zhao, M. Lv

引用次数: 0

Abstract

With the development of big data technology, medical data has become increasingly important. It not only contains personal privacy information, but also involves medical security issues. This paper proposes a secure data fitting scheme based on CKKS (Cheon-Kim-Kim-Song) homomorphic encryption algorithm for medical IoT. The scheme encrypts the KGGLE-HDP (Heart Disease Prediction) dataset through CKKS homomorphic encryption, calculates the data’s weight and deviation. By using the gradient descent method, it calculates the weight and bias of the data. The experimental results show that under the KAGGLE-HDP dataset,we select the threshold value is 0.7 and the parameter setting is (Poly_modulus_degree, Coeff_mod_bit_sizes, Scale) = (16384; 43, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 43; 23), the number of iteration is 3 and the recognition accuracy of this scheme can achieve 96.7%. The scheme shows that it has a high recognition accuracy and better privacy protection than other data fitting schemes.

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基于CKKS同态加密的医疗物联网安全数据拟合方案

随着大数据技术的发展，医疗数据变得越来越重要。它不仅包含个人隐私信息，还涉及医疗安全问题。提出了一种基于CKKS (Cheon-Kim-Kim-Song)同态加密算法的医疗物联网安全数据拟合方案。该方案通过CKKS同态加密对KGGLE-HDP (Heart Disease Prediction)数据集进行加密，计算数据的权值和偏差。采用梯度下降法计算数据的权重和偏置。实验结果表明，在KAGGLE-HDP数据集下，我们选择阈值为0.7，参数设置为(Poly_modulus_degree, Coeff_mod_bit_sizes, Scale) = (16384;43、23、23、23、23、23、23、23、23、23、23、23、23、43;23)，迭代次数为3次，该方案的识别准确率可达到96.7%。结果表明，该方案具有较高的识别精度和较好的隐私保护。

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 High Speed Networks Computer Science-Computer Networks and Communications

CiteScore

1.80

自引率

11.10%

发文量

期刊介绍： The Journal of High Speed Networks is an international archival journal, active since 1992, providing a publication vehicle for covering a large number of topics of interest in the high performance networking and communication area. Its audience includes researchers, managers as well as network designers and operators. The main goal will be to provide timely dissemination of information and scientific knowledge. The journal will publish contributed papers on novel research, survey and position papers on topics of current interest, technical notes, and short communications to report progress on long-term projects. Submissions to the Journal will be refereed consistently with the review process of leading technical journals, based on originality, significance, quality, and clarity. The journal will publish papers on a number of topics ranging from design to practical experiences with operational high performance/speed networks.