Xiaonan Guo - IUPUI

Oct 04, 2017

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Abstract

The proliferation of wearable devices, e.g., smartwatches and activity trackers, with embedded sensors has already shown its great potential on monitoring and inferring human daily activities. In this talk, I will present a serious security breach of wearable devices in the context of divulging secret information (i.e., key entries) while people accessing key-based security systems. Existing methods of obtaining such secret information relies on installations of dedicated hardware (e.g., video camera or fake keypad), or training with labeled data from body sensors, which restrict use cases in practical adversary scenarios. I will show that a wearable device can be exploited to discriminate mm-level distances and directions of the user’s fine-grained hand movements, which enable attackers to reproduce the trajectories of the user’s hand and further to recover the secret key entries.

About the Speaker

Xiaonan Guo received his Ph.D. degree in computer science and engineering from the Hong Kong University of Science and Technology under the guidance of Prof. Lionel M. Ni in 2013. Prior to joining IUPUI as an Assistant Professor at CIT department, he was a research associate working with Prof.Yingying Chen in the Electrical and Computer Engineering Department at Stevens Institute of Technology. His research interests include Cyber security and privacy, Security in mobile devices, intrusion detection using Wi-Fi for smart homes, Mobile healthcare and large data analysis on mobile devices. He received the Best Paper Award from ACM Conference on Information, Computer and Communications Security (ASIACCS) 2016​.

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