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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

李继国, 朱留富, 刘成东, 陆阳, 韩金广, 王化群, 张亦辰. 标准模型下证明安全的可追踪属性基净化签名方案[J]. 计算机研究与发展, 2021, 58(10): 2253-2264. DOI: 10.7544/issn1000-1239.2021.20210669
引用本文: 李继国, 朱留富, 刘成东, 陆阳, 韩金广, 王化群, 张亦辰. 标准模型下证明安全的可追踪属性基净化签名方案[J]. 计算机研究与发展, 2021, 58(10): 2253-2264. DOI: 10.7544/issn1000-1239.2021.20210669
Li Jiguo, Zhu Liufu, Liu Chengdong, Lu Yang, Han Jinguang, Wang Huaqun, Zhang Yichen. Provably Secure Traceable Attribute-Based Sanitizable Signature Scheme in the Standard Model[J]. Journal of Computer Research and Development, 2021, 58(10): 2253-2264. DOI: 10.7544/issn1000-1239.2021.20210669
Citation: Li Jiguo, Zhu Liufu, Liu Chengdong, Lu Yang, Han Jinguang, Wang Huaqun, Zhang Yichen. Provably Secure Traceable Attribute-Based Sanitizable Signature Scheme in the Standard Model[J]. Journal of Computer Research and Development, 2021, 58(10): 2253-2264. 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

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)
详细信息
  • 中图分类号: TP391

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

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: 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.
    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.
  • 期刊类型引用(5)

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    2. 茅磊. 标准模型下同态签名方案的研究. 电脑知识与技术. 2024(21): 86-88 . 百度学术
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    4. 朱留富,李继国,赖建昌,黄欣沂,张亦辰. 基于商密SM9的属性基在线/离线签名方案. 计算机研究与发展. 2023(02): 362-370 . 本站查看
    5. 李继国,朱留富,沈剑,陆阳,张亦辰. 具有强指定验证者的属性基可净化签名方案. 计算机学报. 2023(09): 1806-1819 . 百度学术

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出版历程
  • 发布日期:  2021-09-30

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