高原，博士、讲师，1994年6月出生。毕业于东南大学。
主要研究方向为物联网安全、数据去重和跨模态数据管理。曾参与国家重点研发计划项目1项，国家自然科学基金重点项目1项，主持算力互联网与信息安全教育部重点实验室开放课题1项。先后发表多篇论文10余篇并担任IEEE Transactions on Dependable and Secure Computing、Future Generation Computer Systems 、Journal of Systems Architecture等多个SCI论文的审稿专家。
Email：gaoyuan@cumt.edu.cn
近五年代表性研究成果：
Gao Y, Chen L, Han J, et al. Similarity-based Secure Deduplication for IIoT Cloud Management System[J]. IEEE Transactions on Dependable and Secure Computing, 2023. (CCF A, JCR Q1, IF 7.3)
Gao Y, Chen L, Han J, et al. IoT Privacy-preserving Data Mining with Dynamic Incentive Mechanism[J]. IEEE Internet of Things Journal, 2023. (JCR Q1, IF 10.6)
Gao Y, Chen L, Han J, et al. Similarity-based deduplication and secure auditing in IoT decentralized storage[J]. Journal of Systems Architecture, 2023: 102961.( JCR Q1, IF 4.5)
Gao Y, Chen L, Wu G, et al. A Game Theory Study of Big Data Analytics in Internet of Things[J]. IEEE Transactions on Network and Service Management, 2022. (JCR Q2, IF 5.3)
Gao Y, Xian H, Yu A. Secure data deduplication for Internet-of-things sensor networks based on threshold dynamic adjustment[J]. International Journal of Distributed Sensor Networks, 2020, 16(3): 1550147720911003. (JCR Q3)
Gao Y, Xian H, Teng Y. User similarity-aware data deduplication scheme for IoT applications[C]//Frontiers in Cyber Security: Third International Conference, FCS 2020, Tianjin, China, November 15–17, 2020, Proceedings 3. Springer Singapore, 2020: 44-52. (EI)
咸鹤群, 高原, 穆雪莲, 等. 基于阈值动态调整的重复数据删除方案[J]. 软件学报, 2021, 32(11): 3563-3575. (中文A类, 北大核心)
