Dr. Xia Feng
Professor Master /PhD Supervisor
University Email: xiafeng@hainanu.edu.cn
Education
2017 Anhui University, Computer Application Technology, PhD
2009 Jiangsu University, School of Computer Science, Master
2004 Yangzhou University, School of Computer Science, Bachelor's degree
Current position
Hainan University, School of Cyberspace Security, Professor
Research direction
Internet of Things security, Applied cryptography, Traffic big data, Blockchain
Research and publication
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Feng, X., Shi, Q., Xie, Q., & Wang, L. (2021). P2BA: A privacy-preserving protocol with batch authentication against semi-trusted RSUs in vehicular ad hoc networks. IEEE Transactions on Information Forensics and Security, 16, 3888-3899.
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Feng, X., Liu, H., Yang, H., Xie, Q., & Wang, L. (2024). Batch-Aggregate: Efficient Aggregation for Private Federated Learning in VANETs. IEEE Transactions on Dependable and Secure Computing.
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Feng, X., Cheng, W., Cao, C., Wang, L., & Sheng, V. S. (2024). DPFLA: Defending Private Federated Learning Against Poisoning Attacks. IEEE Transactions on Services Computing.
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Feng, X., Cui, K., Wang, L., Liu, Z., & Ma, J. (2024). PBAG: A Privacy-Preserving Blockchain-Based Authentication Protocol With Global-Updated Commitment in IoVs. IEEE Transactions on Intelligent Transportation Systems.
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Feng, X., Wang, X., Cui, K., Xie, Q., & Wang, L. (2023). A distributed message authentication scheme with reputation mechanism for Internet of Vehicles. Journal of Systems Architecture, 145, 103029.
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Feng, X., Shi, Q., Xie, Q., & Liu, L. (2021). An efficient privacy-preserving authentication model based on blockchain for VANETs. Journal of Systems Architecture, 117, 102158.
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Feng, X., & Wang, L. (2019). PAU: Privacy Assessment method with Uncertainty consideration for cloud-based vehicular networks. Future Generation Computer Systems, 96, 368-375.
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Feng, X., Shi, Q., Li, X., Liu, H., & Wang, L. (2024). IDPonzi: An interpretable detection model for identifying smart Ponzi schemes. Engineering Applications of Artificial Intelligence, 136, 108868.
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Feng, X., Cui, K., Jiang, H., & Wang, L. (2022). A source authentication scheme for road condition monitoring using consortium blockchain. IEEE Transactions on Vehicular Technology, 72(5), 6428-6444.
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Feng, X., Wang, X., Liu, H., Yang, H., & Wang, L. (2024). A Privacy-preserving Aggregation Scheme with Continuous Authentication for Federated Learning in VANETs. IEEE Transactions on Vehicular Technology.
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Feng, X., Li, C. Y., Chen, D. X., & Tang, J. (2017). A method for defensing against multi-source Sybil attacks in VANET. Peer-to-Peer Networking and Applications, 10, 305-314.
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馮霞, 崔凱平, 謝晴晴, & 王良民. (2022). VANET 中基於區塊鏈的分散式匿名認證方案. 通信學報, 43(9), 134-147.
Research projects:
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National Natural Science Foundation of China general project, presided over, research on the structure and key technologies of privacy-aware crowdsourcing services for transportation big data;
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National Natural Science Foundation of China youth project, presided over/completed, research on privacy intrusion tolerance evaluation methods in heterogeneous vehicle networks;
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China Postdoctoral Science Foundation, presided over/completed, research on privacy assessment methods in the Internet of Vehicles;
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Jiangsu Province Blockchain Demonstration Project, presided over/completed, Huilong Logistics Transaction System Trusted Management Platform;
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Jiangsu Province Key Research and Development, second-place finisher, Research and Development of Heterogeneous Network Security Fusion Technology Based on the Internet of Vehicles;
Academic Awards
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2020, Jiangsu Province Science and Technology Progress Second Prize, Key Technologies and Industrialization Application of Heterogeneous Internet of Things Security Fusion
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2017, China Highway and Transportation Society First Prize, Research and Application of Key Technologies for Driver Assistance and Information Security Protection Based on Human-Vehicle-Road Collaboration
Professional Affiliations
2022–present, member of the editorial board of the Journal of Communications
Reviewer for international journals such as TIFS and TDSC
Expert reviewer for the Ministry of Education's talent plan and the National Natural Science Foundation of China