标准模型下证明安全的可追踪属性基净化签名方案

李继国; 朱留富; 刘成东; 陆阳; 韩金广; 王化群; 张亦辰

doi:10.7544/issn1000-1239.2021.20210669

标准模型下证明安全的可追踪属性基净化签名方案

¹(福建师范大学计算机与网络空间安全学院福州 350117)
²(福建省网络安全与密码技术重点实验室(福建师范大学) 福州 350007)
³(北京市信息技术应用研究所北京 100091)
⁴(南京师范大学计算机与电子信息学院/人工智能学院南京 210023)
⁵(江苏省电子商务重点实验室(南京财经大学) 南京 210003)
⁶(南京邮电大学计算机学院南京 210023) (ljg1688@163.com)

基金项目: 国家自然科学基金项目(62072104,61972095,U1736112,61972190,61941116,61772009)；福建省自然科学基金项目(2020J01159)

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中图分类号: TP391
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出版历程
- 发布日期: 2021-09-30

Provably Secure Traceable Attribute-Based Sanitizable Signature Scheme in the Standard Model

¹(College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117)
²(Fujian Provincial Key Laboratory of Network Security and Cryptology (Fujian Normal University), Fuzhou 350007)
³(Beijing Application Institute of Information Technology, Beijing 100091)
⁴(School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing 210023)
⁵(Jiangsu Provincial Key Laboratory of E-Business (Nanjing University of Finance and Economics), Nanjing 210003)
⁶(College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210023)

Funds: This work was supported by the National Natural Science Foundation of China (62072104, 61972095, U1736112, 61972190, 61941116, 61772009) and the Natural Science Foundation of the Fujian Province of China (2020J01159).

摘要

摘要: 自从属性基签名(attribute-based signature, ABS)的概念被提出后，ABS因其匿名性特征而受到广泛关注.ABS可以隐藏签名者的真实身份从而保护用户隐私，但其匿名性可能导致签名者滥用签名而无法进行追踪.同时在特定的应用场景，如在电子医疗或电子商务中需要保护一些敏感信息(如医疗技术、转账细节等)防止客户隐私信息泄露.为了解决数据传输中的敏感信息隐藏以及签名者滥用签名问题，提出了一种可追踪身份的属性基净化签名方案.方案的安全性在标准模型下规约于Computational Diffie-Hellman(CDH)困难问题假设.提出的方案不仅解决了敏感信息隐藏，保证了签名者的隐私，而且防止了签名者对签名的滥用.
- 属性基签名 /
- 可净化性 /
- 可追踪性 /
- 隐私性 /
- 标准模型
Abstract: Since the concept of Attribute-Based Signature(ABS) was proposed, it has attracted wide attention due to its anonymity. ABS can hide the identity of signers to support anonymity, but anonymity may enable malicious signers to abuse signatures if the signatures are not traceable. At the same time, in specific application scenarios, such as e-medical treatment or e-commerce, some personal data(e.g. medical records, trade-transfer details, etc.) should be protected to prevent the leakage of private information. In order to hide sensitive information in data transmission and prevent malicious signers from abusing signatures, a traceable attribute-based sanitizable signature scheme is proposed. The security of the scheme is reduced to the Computational Diffie-Hellman(CDH) hard problem in the standard model. The scheme not only solves the problem of sensitive information hiding, guarantees the privacy of the signer, but also prevents the signer from abusing the signature.
- attribute-based signature (ABS) /
- sanitizablity /
- traceability /
- privacy /
- standard model

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