姓名：万志国

职称：教授

邮箱：wanzhiguo@hznu.edu.cn, wanzhiguo@gmail.com

个人简介：

本科毕业于清华大学，博士毕业于新加坡国立大学，中国计算机学会高级会员，IEEE高级会员，中国计算机学会区块链专委委员，主要研究方向为应用密码学、信息安全与隐私保护。作为项目负责人主持国家自然科学基金项目4项，以及山东省自然科学基金重大基础研究项目、面上项目和之江实验室重大研究项目、教育部留学回国人员基金项目等多项项目；作为项目骨干参与国家自然科学基金重点项目，科技部重点研发计划项目。已发表学术论文100多篇，包括ACM CCS, Eurocrypt, USENIX Security, INFOCOM，IEEE TDSC, IEEE TIFS等CCF A类国际学术会议和期刊，申请专利30余项，授权国家发明专利10余项、美国发明专利1项。Google Scholar引用次数达6000余次，单篇引用次数达700+次。出版《智能计算》专著一部，获得2022年浙江省科技进步二等奖。目前任CCF A类期刊IEEE Transactions on Dependable and Secure Computing（TDSC）和IEEE Open Journal of the Communications Society编委(Associate Editor)。

主持项目：

[1] 之江实验室揭榜挂帅项目，项目资助编号 2022PD0AC01，面向广域协同智能计算的可信关键技术研究, 2022-2023

[2] 山东省自然科学基金重大基础研究项目，项目资助编号 ZR2020ZD01，区块链安全与隐私关键技术, 2021-2023

[3] 国家自然科学基金 (NSFC) 面上项目，项目资助编号 62272425，异构多链系统的隐私保护与监管研究, 2023-2026

[4] 国家自然科学基金 (NSFC) 面上项目，项目资助编号 61972229，面向大规模物联网系统的分层区块链架构与安全, 2020-2023

[5] 国家自然科学基金 (NSFC) 面上项目，项目资助编号 61370027，基于压缩网络编码的无线传感器网络安全与隐私, 2014-2017

[6] 国家自然科学基金 (NSFC) 青年项目，项目资助编号 61003223，基于网络编码的无线传感器网络隐私保护, 2011-2013

[7] 之江实验室 PI 启动项目，项目资助编号 2021PI2104，区块链隐私与监管技术, 2021-2022

[8] 山东省自然科学基金，区块链智能合约的安全与隐私保护, 2019-2021

[9] 山东大学跨学科研究项目，面向智能电网中的多微电网的安全可扩展区块链, 2018-2020

[10] 华为创新研究项目，面向物联网的高可扩展区块链设计与实现, 2018

[11] 国家自然科学基金 (NSFC)，项目资助编号 61128005，共同负责人，MCMR 无线网络的网络容量最大化, 2012-2013

[12] 清华大学国家实验室，智能电网高级量测基础设施的关键管理机制, 2013-2014

[13] 国家重点实验室，智能电网高级量测基础设施的安全方案, 2013-2014

[14] 清华-鲁汶大学双边合作项目，在线社交网络的隐私保护, 2011-2013

[15] 海外归国学者启动项目，无线网络的隐私保护, 2010-2012

代表性论文：

[1]. Zhiguo Wan, Jun’e Liu, and Robert Deng, “HASBE: A Hierarchical Attribute-Based Solution for Flexible and Scalable Access Control in Cloud Computing,” IEEE Trans. on Information Forensics and Security (CCF A, Impact Factor: 6.8), vol. 7, no. 2, Pages 743-754, 2012.

[2]. Zhiguo Wan, Guilin Wang, Yanjiang Yang, and Shenxing Shi, “SKM: Scalable Key Management for Advanced Metering Infrastructure in Smart Grids,” IEEE Transactions on Industrial Electronics (中科院一区, Impact Factor: 7.7), vol. 61, no. 12 Pages: 7055-7066, 2014.

[3]. Zhiguo Wan and Robert H. Deng, “VPSearch: Achieving Verifiability for Privacy-Preserving Multi-Keyword Search over Encrypted Cloud Data,” IEEE Transactions on Dependable and Secure Computing (CCF A, Impact Factor: 7.3), 2018.

[4]. Zhiguo Wan, T. Zhang, W. Liu, M. Wang, and L. Zhu, “Decentralized Privacy-Preserving Fair Exchange Scheme for V2G Based on Blockchain,” IEEE Trans. Dependable and Secure Computing (CCF A, Impact Factor: 7.3), 2022.

[5]. Zhiguo Wan, Y. Zhou and K. Ren, zk-AuthFeed: Protecting Data Feed to Smart Contracts with Authenticated Zero Knowledge Proof, IEEE Trans. Dependable and Secure Computing (CCF A, Impact Factor: 7.3), 2023.

[6]. Zhiguo Wan, W. Liu, and H. Cui, HIBEChain: A Hierarchical Identity-based Blockchain System for Large-Scale IoT, IEEE Trans. Dependable and Secure Computing (CCF A, Impact Factor: 7.3), 2023.

[7]. Z. Guan, Zhiguo Wan, Y. Yang, Y. Zhou, and B. Huang, “BlockMaze: An Efficient Privacy-Preserving Account-Model Blockchain Based on zk-SNARKs,” IEEE Trans. Dependable and Secure Computing (CCF A, Impact Factor: 7.3), 2022.

[8]. R. Gao, Zhiguo Wan, Y. Hu, and H. Wang, “A Succinct Range Proof for Polynomial-based Vector Commitment,” in Proc. ACM CCS (CCF A, 安全领域顶会), 3125-3166, 2024.

[9]. T. Zhaolu, Zhiguo Wan, and H. Wang, “Post-Quantum Rollup: Falcon Signature Aggregation Based on SNARG with Enhanced Gates,” IEEE Trans. on Information Forensics and Security (CCF A,中科院一区), 2025.

[10]. Z. Guan, Y. Zhao, Zhiguo Wan, and J. Han, “OPSA: Efficient and Verifiable One-Pass Secure Aggregation with TEE for Federated Learning,” IEEE Trans. Dependable and Secure Computing (CCF A), 2025.

[11]. Z. Guan, Y. Zhao, Zhiguo Wan, and W. Wang, “Input Integrity and Authentic Results: Towards Trustworthy Aggregation in Federated Learning,”IEEE INFOCOM (CCF A, 通讯领域顶会), 2025.

[12]. T. Zhaolu, Zhiguo Wan, and H. Wang, “Division of regulatory power: Collaborative regulation for privacy-preserving blockchains,” IEEE Transactions on Information Forensics and Security (CCF A, Impact Factor: 6.8), 2024.

[13]. W. Liu, Zhiguo Wan, J. Shao, and Y. Yu, “HyperMaze: Towards Privacy-Preserving and Scalable Permissioned Blockchain, IEEE Trans. Dependable and Secure Computing (CCF A, Impact Factor: 7.3), 2023.

[14]. H. Cui, Zhiguo Wan, X. Wei, S. Nepal and X. Yi, “Pay as You Decrypt: Decryption Outsourcing for Functional Encryption Using Blockchain,” IEEE Trans. Information Forensics and Security (CCF A, Impact Factor: 6.8), vol. 15, 2020.

[15]. H. Cui, Zhiguo Wan, R. Deng, G. Wang, Y. Li, “Efficient and Expressive Keyword Search Over Encrypted Data in the Cloud,” IEEE Transactions on Dependable and Secure Computing (CCF A, Impact Factor: 7.3), vol. 15, no. 3, Pages: 409-422, 2018.