I am a Lecturer at the Cybersecurity Lab, School of Computer Engineering and Science, Shanghai University. My research interests are in Cybersecurity and public-key cryptography.
I got my Ph.D. from East China Normal University, China (Under the supervision of Zhenfu Cao and Lei Zhang). During my Ph.D., I visited ENS de Lyon, France (with Benoit Libert and Junqing Gong). After PhD, I spent half a year as a Senior Research Engineering at Nanyang Technological University, Singapore (with Professor Kwok-Yan Lam).
Today, my research focuses mainly on security and privacy issues in the Internet of Vehicles (supported by Shanghai Sailing Program: 2021-2024, National Key R&D Program: 2023-2026). I am also working towards efficient and useful functional encryption(Supported by Science and Technology on Communication Security Laboratory Foundation: 2022-2024).
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Email: lijiangtao AT shu.edu.cn
Office: J423, SCES
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Zihou Zhang, Jiangtao Li, Yufeng Li, Chenhong Cao, Zhenfu Cao, Hardware Secure Module based Lightweight Conditional Privacy-Preserving Authentication for VANETs, IEEE Transactions on Information Forensics and Security, to appear.
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Lei Zhang, Jiangtao Li, Yafang Yang, Message Linkable Group Signature with Information Binding and Efficient Revocation for Privacy-Preserving Announcement in VANETs, IEEE Transactions on Dependable and Secure Computing, to appear.
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Ziqi Zhu, Jiangtao Li, Kai Zhang, Junqing Gong, Haifeng Qian, Registered Functional Encryptions from Pairings, Eurocrypt 2024, LNCS 14652., pp. 373-402, 2024 [eprint]
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Jiangtao Li, Zhaoheng Song, Zihou Zhang, Yufeng Li, Chenhong Cao, In-Vehicle Digital Forensics for Connected and Automated Vehicles With Public Auditing, IEEE Internet of Things Journal , vol. 11, no. 4, pp. 6368-6383, Feb. 2024.
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Guiqi Zhang, Qi Liu, Chenhong Cao, Jiangtao Li, Yufeng Li, Bit scanner: Anomaly detection for in-vehicle CAN bus using binary sequence whitelisting, Computers & Security, vol. 134: 103436, Nov. 2023.
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Yufeng Li, Fengyu Yang, Qi Liu, Jiangtao Li, Chenhong Cao, Light can be dangerous: Stealthy and effective physical-world adversarial attack by spot light, Computers & Security, vol. 132:103345, Sep. 2023.
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Jiangtao Li, Yufeng Li, Chenhong Cao, Kwok-Yan Lam, Conditional Anonymous Authentication with Abuse-Resistant Tracing and Distributed Trust for Internet of Vehicles, IEEE Internet of Things Journal, vol. 9, no. 11, pp. 8749 - 8762, Jun. 2022.
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Lei Zhang, Hu Xiong, Qiong Huang, Jiguo Li, Kim-Kwang Raymond Choo, Jiangtao Li,
Cryptographic solutions for cloud storage: Challenges and research opportunities, IEEE
Transactions on
Services Computing, vol. 15, no. 1, pp. 567 - 587, Feb. 2022.
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Jiangtao Li, Zhaoheng Song, Yufeng Li, Chenhong Cao, Yuanhang He, Trajectory as an Identity: Privacy-Preserving and Sybil-Resistant Authentication for Internet of Vehicles, Security and Communication Networks, vol. 2021, Article ID 8251697, 2021.
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Tingting Lu, Jiangtao Li, Lei Zhang, Kwok-Yan Lam, Group Signatures with Decentralized
Tracing, Inscrypt 2019, LNCS 12020, pp. 435-442, 2019.
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Lei Zhang, Mingxing Luo, Jiangtao Li, Man Ho Au, Kim-Kwang Raymond Choo, Tong Chen,
Shengwei Tian, Blockchain based secure data sharing system for Internet of vehicles: A position
paper, Vehicular Communications , vol. 16, pp. 85-93, 2019.
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Lei Zhang, Jiangtao Li, Enabling robust and privacy-preserving resource allocation in
fog computing, IEEE Access, vol. 6, pp. 50384-50393, 2018.
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Jiangtao Li, Junqing Gong, Improved Anonymous Broadcast Encryptions: Tight Security and
Shorter Ciphertext, ACNS 2018, LNCS 10892, pp. 497-515, 2018. [HAL]
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Jian Liu, Jiangtao Li, Lei Zhang, Feifei Dai, Yuanfei Zhang, Xinyu Meng, Jian Shen,
Secure intelligent traffic light control using fog computing, Future Generation Computer
Systems, vol. 78, pp. 817-824, 2018.
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Jiangtao Li, Lei Zhang, Sender dynamic, non-repudiable, privacy-preserving and strong
secure group communication protocol, Information Sciences, vol. 414, pp. 187-202,
2017.
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Jiangtao Li, Lei Zhang, Joseph K. Liu, Haifeng Qian, Zheming Dong, Privacy-preserving
public auditing protocol for low-performance end devices in cloud, IEEE Transactions on
Information Forensics and Security, vol. 11, pp. 2572-2583, 2016.
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