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
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
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).
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.