Computer Science ›› 2026, Vol. 53 ›› Issue (6A): 260100018-8.doi: 10.11896/jsjkx.260100018

• Information Security • Previous Articles     Next Articles

Blockchain Scheme for Medical Data Sharing Based on Main-Side Chain and Traceable RingSignature

ZHAO Rui1, GAO Hancheng1,2, HUANG Haiping1,2,3, FENG Haoshi1 , LU Xinyi1   

  1. 1 School of Computer Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
    2 Jiangsu Provincial Key Laboratory of Internet of Things Intelligent Perception and Computing,Nanjing 210023,China
    3 Anhui Province Key Laboratory of Cyberspace Security Situation Awareness and Evaluation,Hefei 230000,China
  • Online:2026-06-16 Published:2026-06-12
  • About author:ZHAO Rui,born in 2004.His main research interests include information security and blockchain.
    HUANG Haiping,born in 1981,Ph.D supervisor,is a member of CCF(No.1523S).His main research interests include information security and data privacy in IOT.
  • Supported by:
    National Natural Science Foundation of China(62072252),Open Fund of Anhui Province Key Laboratory of Cyberspace Security Situation Awareness and Evaluation(TK224013) and Postgraduate Research & Practice Innovation Program of Jiangsu Pro-vince(KYCX22_1016).

Abstract: Secure sharing of medical data and privacy protection are crucial for improving healthcare service quality.To address critical challenges in current medical systems,including data silos,privacy breaches and auditing difficulties,a data security sharing and privacy protection scheme for medical consortium blockchain is proposed.Firstly,the scheme constructs a patient-ID-indexed “main-side” chain storage architecture,where the main chain stores personal information,while the side chain stores medical records and addition trajectories,enabling efficient data retrieval.Secondly,Traceable ring signature technology is introduced to preserve user anonymity while supporting identity traceability in the case of medical disputes,balancing privacy protection and regulatory needs.Furthermore,a threshold signature mechanism without a trusted center is adopted,leveraging distributed key generation and threshold signature technology to provide decentralized approval and verification for medical record additions,achieving access control and secure sharing.Finally,security analysis and experimental simulations demonstrate that the proposed scheme outperforms existing solutions in terms of computational and communication overhead,which demonstrates its practical feasibility and effectiveness.

Key words: Secure sharing, Privacy protection, Blockchain, Traceable ring signature, Threshold signature

CLC Number: 

  • TP309
[1] HE Q W,LIN Q X,LIN H,et al.Cross-chain-based medical data security sharing scheme[J].Computer Systems & Applications,2023,32(5):97-104.
[2] WANG M,GUO Y,ZHANG C,et al.MedShare:A Privacy-Preserving Medical Data Sharing System by Using Blockchain[J].IEEE Transactions on Services Computing,2023,16(1):438-451.
[3] ZOU R,LV X,ZHAO J,et al.SPChain:Blockchain-based medical data sharing and privacy-preserving eHealth system[J].Information Processing and Management,2021,58(4):102604.
[4] LI Y H,LI Q,LI Z W,et al.Data sharing scheme of electronic medical records based on blockchain and verifiable integrity[J].Journal of Cyber Security,2025,10(5):129-139.
[5] DONG Y S,LI C,SHEN Z N,et al.Blockchain-oriented UC security threshold SM9 signature scheme[J].Journal of Computer Research and Development,2026,63(1):227-242.
[6] WANG R,XU C,ZHANG X.Toward materials genome big-data:A blockchain-based secure storage and efficient retrieval method[J].IEEE Transactions on Parallel and Distributed Systems,2024,35(9):1630-1643.
[7] XUE L D,WANG M Z,XIAO C Q,et al.E-chain:A Distributed Energy Trading Blockchain System Driven by Temporal and Spatial Optimization[J/OL].[2026-04-14] .https://doi.org/10.19678/j.issn.1000-3428.0252282.
[8] JIANG L Y,LIU G H,YANG J L,et al.P-DAG:An Efficient and Secure Blockchain System Based on Parallel Chain Structure[J].Computer Science,2025,52(S2):835-840.
[9] ZHANG Z T,HAN H X,SHI C X,et al.Overview of blockchain fragmentation technology compatible with smart contracts[J/OL].[2026-04-14] .https://link.cnki.net/urlid/11.1777.tp.20251201.1602.004.
[10] CHEN X,GAO S,XU S,et al.From Σ-protocol based Signa-tures to Ring Signatures:General Construction and Applications[J].IEEE Transactionson Information Forensics and Security,2025,20:3646-3661.
[11] DONG J S,LI C,SHEN Z N,et al.Blockchain AnonymousTrading Scheme Based on State Secret SM9[J].Scientia Sinica(Informationis),2025,55(6):1428-1446.
[12] CHANG F,CUI J,WANG L M.traceable anonymous authenti-cation scheme based on ellipticcurve in WSN[J].Journal of Computer Research and Development,2017,54(9):2011-2020.
[13] SHEN M,CHE Z,ZHU L H,et al.Anonymity of digital currency transaction in blockchain:protection and confrontation[J].Chinese Journal of Computers,2023,46(1):125-146.
[14] YE Q,LANG Y,GUO H,et al.Efficient lattice-based traceable ring signature scheme with it's application in blockchain[J].Information Sciences,2023,648:119536.
[15] XIE Z J,YIN X K,CAI R J,et al.Traceable ring signature scheme based on state secret algorithm SM9[J].Journal on Communications,2025,46(3):199-211
[16] ZHANG Y,LEI H,WANG B,et al.Traceable ring signature schemes based on SM2 digital signature algorithm and its applications in the datasharing scheme[J].Frontiers of Computer Science,2024,18(2):182815.
[17] SU H,GUO Z Z,XU M Z.Efficient privacy protection scheme for supervised identities in blockchain[J].Journal of Software:1-24 [2025-10-03] .DOI:10.13328/j.cnki.jos.007427.
[18] HUANG X,ZUO C,SHAO J,et al.Timed Anonymous RingSignature with Application to Bidding Systems[J].IEEE Transac-tions on Information Forensics and Security,2025,20:8210-8223.
[19] HU Y F,XIONG H,FANG L M,et al.Overview of Distributed Cryptography Technology for Blockchain[J].Chinese Journal of Computers,2025,48(7):1670-1695.
[20] DEL PINO R,KATSUMATA S,NIOT G,et al.UnmaskingTRaccoon:A lattice-based threshold signature with an efficient identifiable abort protocol[C]//Annual International Cryptology Conference.Cham:Springer Nature Switzerland,2025:423-456.
[21] BACHO R,LOSS J.On the adaptive security of the threshold BLS signature scheme[C]//Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.2022:193-207.
[22] ZANG W Y,LV J L.Research on Time Rotation Notary Group Model Based on Threshold Signature[J].Computer Science,2024,51(8):403-411.
[23] CHENG Y G,HU M S,GONG B,et al.A Dynamic Threshold Signature Scheme with Strong Forward Security[J].Computer Engineering and Applications,2020,56(5):125-134.
[24] HANKERSON D,MENEZES A.Elliptic curve discrete log-arithm problem[M]//Encyclopedia of Cryptography,Security and Privacy.Cham:Springer Nature Switzerland,2025:784-787.
[1] ZHANG Xiqian, CHEN Siyu, ZHANG Hanwen, WANG Deguang, TIAN Hong. ChainGrid-V:A Highly Scalable Blockchain Storage and Consensus Framework for Cross-domainInternet of Vehicles [J]. Computer Science, 2026, 53(6A): 250800060-8.
[2] LYU Mingfeng, LIU Haijiang, DI Yangchen, YUAN Yecheng, GAO Xizhang. Bibliometric Investigation of Research on Blockchain Technology [J]. Computer Science, 2026, 53(6A): 250600062-9.
[3] LI Xiaogang, ZHAO Hui. HIBA:Verifiable and Efficient Query Architecture for Blockchain Based on Hybrid Index [J]. Computer Science, 2026, 53(6A): 250600212-7.
[4] LI Ruirui, GUO Rui, ZHANG Yinghui, LI Xuelei, LIU Guangjun. Edge Federated Learning Privacy Protection Scheme Based on Multi-key Homomorphic Encryption [J]. Computer Science, 2026, 53(6): 446-459.
[5] YANG Xin, GUO Yimin. Smart Medical Secure Authentication Protocol for Cloud and Fog Leakage Resistance [J]. Computer Science, 2026, 53(4): 454-468.
[6] ZHAO Zhengbiao, LU Hanyu, DING Hongfa. Node-influence Based Construction Algorithm of Approximate Worst-case Forgetting Set for Graph Unlearning [J]. Computer Science, 2026, 53(3): 64-77.
[7] PAN Yanyang, YANG Binhao, JI Qingge. PBFT Consensus Algorithm Based on Bayesian Theory [J]. Computer Science, 2026, 53(1): 331-340.
[8] ZHOU Tao, DU Yongping, XIE Runfeng, HAN Honggui. Vulnerability Detection Method Based on Deep Fusion of Multi-dimensional Features from Heterogeneous Contract Graphs [J]. Computer Science, 2025, 52(9): 368-375.
[9] FENG Yimeng, FENG Yan, XIE Sijiang, ZHANG Qing. Proxy-based Bidirectional Coin Mixing Mechanism of Blockchain [J]. Computer Science, 2025, 52(8): 385-392.
[10] DAI Xiangguang, HE Chenglong, GUAN Mingyu, ZHANG Wei, ZHOU Yang, LIU Jianfeng, LYU Qingguo. State-decomposition Distributed Dual Averaging Algorithm for Privacy Online ConstrainedOptimization over Directed Networks [J]. Computer Science, 2025, 52(8): 411-420.
[11] WANG Chundong, ZHANG Qinghua, FU Haoran. Federated Learning Privacy Protection Method Combining Dataset Distillation [J]. Computer Science, 2025, 52(6A): 240500132-7.
[12] ZHAO Chanchan, WEI Xiaomin, SHI Bao, LYU Fei, LIU Libin, ZHANG Ziyang. Edge Computing Based Approach for Node Trust Evaluation in Blockchain Networks [J]. Computer Science, 2025, 52(6A): 240600153-8.
[13] LIU Runjun, XIAO Fengjun, HU Weitong, WANG Xu. Reversible Data Hiding in Fully Encrypted Images Based on Pixel Interval Partitioning andPrediction Recovery [J]. Computer Science, 2025, 52(6A): 240900030-8.
[14] YUAN Lin, HUANG Ling, HAO Kaile, ZHANG Jiawei, ZHU Mingrui, WANG Nannan, GAO Xinbo. Adversarial Face Privacy Protection Based on Makeup Style Patch Activation [J]. Computer Science, 2025, 52(6): 405-413.
[15] CAO Tengfei, YIN Runtian, ZHU Liang, XU Changqiao. Survey of Personalized Location Privacy Protection Technologies [J]. Computer Science, 2025, 52(5): 307-321.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!