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Bio
His research uses AI, acoustics, blockchain technologies for enhancing security of connected devices, networks and systems. His primary research interests are in IoT security, mobile security and privacy, wireless system security, AI security and privacy, and botnet and malware detection. A key thread of his research is the design of secure network infrastructure for Connected Things - including system/device security analysis, anomaly detection system, traffic monitoring and analysis system, attack resilient communication system - to provide security enhancement and protection for the massive IoT systems/networks under cyber attacks. He has been awarded the Best Paper Honorable Mention Award (Best Paper Runner-up) in ACM CCS 2022, Best Paper Award in IEEE SECON 2021 and Best Paper Award in ACM SenSys 2021. He has published papers in top-tier conferences such as CCS, NDSS, USENIX Security, MobiCom, SenSys, INFOCOM, etc. His research has been reported in various high-impact media outlets, including the BBC Radio, Scientific American, Science Daily, Forbes, Popular Mechanics, Gizmodo, The Register, etc. He is a Senior Member of the IEEE and a Member of the ACM.
Research Interests
Papers共 129 篇Author StatisticsCo-AuthorSimilar Experts
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AsiaCCSpp.1316-1330, (2024)
Juexing Wang,Yuda Feng, Gouree Kumbhar,Guangjing Wang,Qiben Yan, Qingxu Jin,Robert C. Ferrier,Jie Xiong,Tianxing Li
ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Servicespp.196-209, (2024)
AsiaCCSpp.799-813, (2024)
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2024): 1142-1155
IEEE Transactions on Information Forensics and Security (2024): 1142-1155
2023 20TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON SENSING, COMMUNICATION, AND NETWORKING, SECON (2023): 312-320
ICDEpp.1517-1530, (2023)
INFOCOMpp.1-10, (2023)
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