Kuai Xu

Kuai Xu

Professor of Computer Science

Arizona State University

Kuai Xu is a professor of computer science in the School of Mathematical and Natural Sciences at Arizona State University. His research covers network security, network measurement and analysis, cloud computing, home networks, and online social networks. He received his PhD in Computer Science from the University of Minnesota in 2006 and his bachelor’s and master’s degrees in Computer Science from Peking University in 1998 and 2001, respectively.

Publications with Xuanli Lin (6)

Guoliang Xue, Yinxin Wan, Xuanli Lin, Kuai Xu, Feng Wang (2024). Inferring User Activities from Internet of Things (IoT) Connected Device Events Using Machine Learning Based Algorithms. US20240403648A1.
Google Patents PDF
Kuai Xu, Yinxin Wan, Xuanli Lin, Feng Wang, Guoliang Xue (2023). Exploring Machine Learning Algorithms for User Activity Inference from IoT Network Traffic. IEEE MASS, 366-374.
IEEE Xplore PDF DOI
Yinxin Wan, Xuanli Lin, Kuai Xu, Feng Wang, Guoliang Xue (2023). Extracting Spatial Information of IoT Device Events for Smart Home Safety Monitoring. INFOCOM, 1-10.
IEEE Xplore PDF DOI
Yinxin Wan Equal contribution , Xuanli Lin Equal contribution , Abdulhakim Sabur, Alena Chang, Kuai Xu, Guoliang Xue (2023). IoT System Vulnerability Analysis and Network Hardening with Shortest Attack Trace in a Weighted Attack Graph. IoTDI, 315-326. Best Paper Award
ACM DL Slides PDF DOI
Xuanli Lin, Yinxin Wan, Kuai Xu, Feng Wang, Guoliang Xue (2022). Inferring User Activities from IoT Device Events in Smart Homes: Challenges and Opportunities. ICCCN, 1-10.
IEEE Xplore Slides PDF DOI
Guoliang Xue, Yinxin Wan, Xuanli Lin, Kuai Xu, Feng Wang (2022). An Effective Machine Learning Based Algorithm for Inferring User Activities From IoT Device Events. IEEE JSAC, 40(9), 2733-2745.
IEEE Xplore Code PDF DOI