可取消生物特征的椭圆曲线密码系统的有效实现

Ahmed A. Asaker, Zeinab F. Elsharkawy, Sabry S. Nassar, N. Ayad, O. Zahran, F. El-Sayed
{"title":"可取消生物特征的椭圆曲线密码系统的有效实现","authors":"Ahmed A. Asaker, Zeinab F. Elsharkawy, Sabry S. Nassar, N. Ayad, O. Zahran, F. El-Sayed","doi":"10.21608/mjeer.2022.109707.1043","DOIUrl":null,"url":null,"abstract":"With the increasing demands for biometric systems in our daily life for automatic identification of individuals, recently iris recognition system has gained a lot of attention attributed to its reliability, uniqueness, difficulty to be imitated and high accuracy in comparison with other available biometric recognition systems. Unfortunately, templates in traditional iris recognition system are unprotected and vulnerable to various threats, such as attacks at the iris reader level or at the database level. Hence, there is a need for developing a system for securing the existing iris recognition system for keeping the original biometrics safe and secure. In this paper, we introduce a hybrid model for protecting iris recognition system through combining an elliptic curve cryptosystem with a new salting-based cancelable iris recognition scheme. The obtained experimental results on CASIA-IrisV3 database proved that the proposed system guarantees a high degree of security and privacy protection without affecting the accuracy. Keywords—Iris Recognition System, Cancelable Biometrics, Elliptic Curve Cryptography, Hamming Distance, Normalized Cross Correlation, Receiver Operating Characteristics.","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"363 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient Implementation of An Elliptic Curve Cryptosystem for Cancelable Biometrics\",\"authors\":\"Ahmed A. Asaker, Zeinab F. Elsharkawy, Sabry S. Nassar, N. Ayad, O. Zahran, F. El-Sayed\",\"doi\":\"10.21608/mjeer.2022.109707.1043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the increasing demands for biometric systems in our daily life for automatic identification of individuals, recently iris recognition system has gained a lot of attention attributed to its reliability, uniqueness, difficulty to be imitated and high accuracy in comparison with other available biometric recognition systems. Unfortunately, templates in traditional iris recognition system are unprotected and vulnerable to various threats, such as attacks at the iris reader level or at the database level. Hence, there is a need for developing a system for securing the existing iris recognition system for keeping the original biometrics safe and secure. In this paper, we introduce a hybrid model for protecting iris recognition system through combining an elliptic curve cryptosystem with a new salting-based cancelable iris recognition scheme. The obtained experimental results on CASIA-IrisV3 database proved that the proposed system guarantees a high degree of security and privacy protection without affecting the accuracy. Keywords—Iris Recognition System, Cancelable Biometrics, Elliptic Curve Cryptography, Hamming Distance, Normalized Cross Correlation, Receiver Operating Characteristics.\",\"PeriodicalId\":218019,\"journal\":{\"name\":\"Menoufia Journal of Electronic Engineering Research\",\"volume\":\"363 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Menoufia Journal of Electronic Engineering Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21608/mjeer.2022.109707.1043\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Menoufia Journal of Electronic Engineering Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21608/mjeer.2022.109707.1043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着人们对生物识别系统在日常生活中对个人自动识别的需求日益增加,虹膜识别系统与现有的生物识别系统相比,具有可靠性、唯一性、难以模仿和准确性高等优点,近年来受到了人们的广泛关注。然而,传统的虹膜识别系统中的模板是不受保护的,容易受到各种威胁,如虹膜读取器级或数据库级的攻击。因此,有必要开发一种保护现有虹膜识别系统的系统,以确保原有生物特征的安全性。本文将椭圆曲线密码系统与一种新的基于盐的可取消虹膜识别方案相结合,提出了一种保护虹膜识别系统的混合模型。在CASIA-IrisV3数据库上获得的实验结果证明,该系统在不影响准确性的情况下,保证了高度的安全性和隐私保护。关键词:虹膜识别系统,可取消生物特征,椭圆曲线密码,汉明距离,归一化互相关,接收机工作特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Efficient Implementation of An Elliptic Curve Cryptosystem for Cancelable Biometrics
With the increasing demands for biometric systems in our daily life for automatic identification of individuals, recently iris recognition system has gained a lot of attention attributed to its reliability, uniqueness, difficulty to be imitated and high accuracy in comparison with other available biometric recognition systems. Unfortunately, templates in traditional iris recognition system are unprotected and vulnerable to various threats, such as attacks at the iris reader level or at the database level. Hence, there is a need for developing a system for securing the existing iris recognition system for keeping the original biometrics safe and secure. In this paper, we introduce a hybrid model for protecting iris recognition system through combining an elliptic curve cryptosystem with a new salting-based cancelable iris recognition scheme. The obtained experimental results on CASIA-IrisV3 database proved that the proposed system guarantees a high degree of security and privacy protection without affecting the accuracy. Keywords—Iris Recognition System, Cancelable Biometrics, Elliptic Curve Cryptography, Hamming Distance, Normalized Cross Correlation, Receiver Operating Characteristics.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Classification of Brain Neuroimaging for Alzheimer's Disease Employing Principal Component Analysis DICOM Medical Image Security with DNA- Non-Uniform Cellular Automata and JSMP Map Based Encryption Technique Photonic Crystal Fiber Sensors, Literature Review, Challenges, and Some Novel Trends Cascading ensemble machine learning algorithms for maize yield level prediction Vibration Control of Horizontally Supported Jeffcott-Rotor System Utilizing PIRC-controller
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1