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一种指纹特征识别的可信验证数字签名系统

A Trusted Verification Digital Signature System Based on Fingerprint Features Recognition
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摘要 针对云计算定制和交付两个出入口的安全问题,提出一种以可信云安全计算为支撑,基于传统密码学数字签名技术,设计了以生物指纹特征为可信计算的验证数字签名技术模型。首先利用二值化和细化算法生成1个像素宽度纹线的指纹图像数学模型框架,提取框架中的指纹特征点,进行数字指纹特征点的拓扑结构等价变换,并进行非对称加密,实现了基于指纹特征识别的可信验证数字签名信任根。结果表明该方法具备生物特征"零知识"验证特点,具有抗攻击性强、加解密运算速度快的优势,从而提高可信云-端的用户安全防御能力。 Aiming at the safety problems of customization entrance and delivery entrance of cloud computing, a trusted and secure cloud computing as the support, digital signature technology based on traditional cryptography is mentioned, a digital signature verification technology model of trusted computing is designed with the biological fingerprint features. Firstly, a fingerprint image mathematical model of pixel width line is generated by using binarization and thinning algorithm, fingerprint feature points in the framework are picked up for topological structure equivalent transformation of digital fingerprint feature points, the non symmetric encryption is carried out and the trust root of trusted verification digital signature based on finger print features recognition is obtained. The results show： this model, with the validation characteristics of ＂zero knowledge＂ biological characteristics, has advantages of strong anti aggressivity and fast encryption and decryption speed, so as to enhance the user＇s security defense capability of trusted cloud-end.
作者 赵伟 王颖 王美妮
机构地区 大连东软信息学院 华能大连电厂 辽宁省海洋信息技术重点实验室 大连海洋大学
出处 《四川理工学院学报（自然科学版）》 CAS 2014年第2期37-42,共6页 Journal of Sichuan University of Science & Engineering(Natural Science Edition)
关键词 数字签名 可信验证 指纹特征 云计算 digital signature trusted verification fingerprint features cloud computing
分类号 TP393.4 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献13

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二级参考文献13

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四川理工学院学报（自然科学版）
2014年 第2期

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