报告人：杜小江教授，IEEE Fellow, 美国天普大学
报告地点：腾讯会议(543 284 196)
报告简介：As IoT devices are integrated via automation and coupled with the physical environment, anomalies in an appified smart home, whether due to attacks or device malfunctions, may lead to severe consequences. Prior works that utilize data mining techniques to detect anomalies suffer from high false alarm rates and missing many real anomalies. Our observation is that data mining-based approaches miss a large chunk of information about automation programs (also called smart apps) and devices. We propose Home Automation Watcher (HAWatcher), a semantics-aware anomaly detection system for appified smart homes. HAWatcher models a smart home’s normal behaviors based on both event logs and semantics. Given a home, HAWatcher generates hypothetical correlations according to semantic information, such as apps, device types, relations and installation locations, and verifies them with event logs. The mined correlations are refined using correlations extracted from the installed smart apps. The refined correlations are used by a Shadow Execution engine to simulate the smart home’s normal behaviors. During runtime, inconsistencies between devices’ real-world states and simulated states are reported as anomalies. We evaluate our prototype on the SmartThings platform in four real-world testbeds and test it against totally 62 different anomaly cases. The results show that HAWatcher achieves high accuracy, significantly outperforming prior approaches. This work has been accepted by one of the top four security conferences - USENIX Security 2021 (acceptance rate =17%).
报告人介绍：Dr. Xiaojiang (James) Du is a Professor and the Director of the Security And Networking (SAN) Lab in the Department of Computer and Information Sciences at Temple University. Dr. Du is an IEEE Fellow and a Life Member of ACM. Dr. Du received his B.S. and M.S. degree in Electrical Engineering from Tsinghua University, Beijing, China in 1996 and 1998, respectively. He received his M.S. and Ph.D. degree in Electrical Engineering from the University of Maryland, College Park in 2002 and 2003, respectively. His research interests are security, wireless networks, and systems. He has authored over 500 journal and conference papers in these areas, as well as a book published by Springer. Dr. Du has been awarded more than 7 million US Dollars research grants from the US National Science Foundation (NSF), Army Research Office, Air Force Research Lab, NASA, the State of Pennsylvania, and Amazon. He won the best paper award at IEEE ICC 2020, IEEE GLOBECOM 2014 and the best poster runner-up award at the ACM MobiHoc 2014. He serves on the editorial boards of three IEEE international journals. Dr. Du served as the lead Chair of the Communication and Information Security Symposium of the IEEE International Communication Conference (ICC) 2015, and a Co-Chair of Mobile and Wireless Networks Track of IEEE Wireless Communications and Networking Conference (WCNC) 2015. He is (was) a Technical Program Committee (TPC) member of several premier ACM/IEEE conferences such as INFOCOM (2007 - 2022), IM, NOMS, ICC, GLOBECOM, WCNC, BroadNet, and IPCCC.