Grants per year
Personal profile
Research Interests
Professor Chan’s research interests are in security, measurement, and diagnosis for networking and large-scale distributed systems.
Education/Academic qualification
Computer Science, PhD, University of California at Berkeley
… → 2003
Computer Science, MS, State University of New York at Stony Brook
… → 1998
Computer Engineering, BE, Zhejiang University
… → 1995
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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I-Corps: AdsProphet: Full-screen Delay-aware Mobile Ads Display
9/1/15 → 5/31/16
Project: Research project
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TWC: TTP Option: Medium: Collaborative: Identifying and mitigating trust violations in the smartphone ecosystem
10/1/14 → 9/30/18
Project: Research project
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NeTS: Small: WaveCube: A Scalable, Fault-Tolerant, High-Performance Optical Data Center Architecture
8/1/12 → 7/31/15
Project: Research project
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NeTS: Small: Parallax - Leveraging the Perspective of Ten Million Peers
8/1/09 → 12/31/12
Project: Research project
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Conan: A Practical Real-Time APT Detection System with High Accuracy and Efficiency
Xiong, C., Zhu, T., Dong, W., Ruan, L., Yang, R., Cheng, Y., Chen, Y., Cheng, S. & Chen, X., 2022, In: IEEE Transactions on Dependable and Secure Computing. 19, 1, p. 551-565 15 p.Research output: Contribution to journal › Article › peer-review
8 Scopus citations -
EspialCog: General, Efficient and Robust Mobile User Implicit Authentication in Noisy Environment
Zhu, T., Weng, Z., Song, Q., Chen, Y., Liu, Q., Chen, Y., Lv, M. & Chen, T., Feb 1 2022, In: IEEE Transactions on Mobile Computing. 21, 2, p. 555-572 18 p.Research output: Contribution to journal › Article › peer-review
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RATScope: Recording and Reconstructing Missing RAT Semantic Behaviors for Forensic Analysis on Windows
Yang, R., Chen, X., Xu, H., Cheng, Y., Xiong, C., Ruan, L., Kavousi, M., Li, Z., Xu, L. & Chen, Y., 2022, In: IEEE Transactions on Dependable and Secure Computing. 19, 3, p. 1621-1638 18 p.Research output: Contribution to journal › Article › peer-review
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通用、 有效且轻量的PowerShell解混淆和语义敏感的攻击检测方法
Translated title of the contribution :Generic, efficient, and effective deobfuscation and semantic-aware attack detection for PowerShell scripts Research output: Contribution to journal › Article › peer-review
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Discovering emergency call pitfalls for cellular networks with formal methods
Hou, K., Li, Y., Yu, Y., Chen, Y. & Zhou, H., Jun 24 2021, MobiSys 2021 - Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services. Association for Computing Machinery, Inc, p. 296-309 14 p. (MobiSys 2021 - Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access