Privacy Implications of Utilizing Wi-Fi Signals in IoT Environments
Zakirul Alam Bhuiyan, PhD, SMIEEE
Associate Professor
Dept. of Comp. & Info. Sciences, Fordham University, NYC, NY
Abstract:
Wireless signals like Wi-Fi are everywhere, passing through and reflecting off us. Recent advancements show these signals can be used for healthcare, activity monitoring, motion detection, and gesture recognition. However, cyber attackers might exploit these signals for malicious purposes, such as unauthorized monitoring. More critically, cyber attackers can deploy unauthorized devices like sniffers or compromise existing Wi-Fi devices to remotely monitor a Wi-Fi-integrated environment. They can deploy unauthorized devices or compromise existing ones to monitor environments, leading to significant privacy leaks. In this talk, I’ll discuss privacy implications and unauthorized identification, showing how attackers use devices to acquire data and leak privacy. I’ll also cover classifying and identifying these devices and discuss future work.
报告时间： 11月27日 下午4:00-5:00
报告地点：信息楼114
Bio:
Dr. Zakirul Alam Bhuiyan is an Associate Professor of Cybersecurity in the Department of Computer and Information Sciences at Fordham University, NY. He is the director of the Dependable and Secure System Research (DependSys) Lab and is affiliated with the Fordham Center for Cybersecurity. His research spans data-driven dependability, cybersecurity & privacy, and emerging IoT/CPS applications. Dr. Bhuiyan has authored or co-authored over 250 publications in prestigious journals. Recognized as a Highly Cited Researcher (2020-2023), and a “World’s Rising Stars of Science” (2022, 2023), he has received numerous awards, including the IEEE TCSC Award for Middle Career Researcher (2024), Early Career Research Excellence (2016-2017) and the IEEE Outstanding Leadership Award. He has organized and chaired various international conferences, including IEEE INFOCOM, and is a Senior Member of IEEE and a member of ACM.
