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제목: ACComplice: Location Inference using Accelerometers on Smartphones
연사: Jun Han (한 준)
일시: 2013년 01월 04일(금), 오후 4시 40분
장소: 301동 317호
Abstract:
The security and privacy risks posed by smartphone
sensors such as microphones and cameras have been well documented.
However, the importance of accelerometers have been
largely ignored. We show that accelerometer readings can be
used to infer the trajectory and starting point of an individual
who is driving. This raises concerns for two main reasons.
First, unauthorized access to an individual’s location is a serious
invasion of privacy and security. Second, current smartphone
operating systems allow any application to observe accelerometer
readings without requiring special privileges. We demonstrate that
accelerometers can be used to locate a device owner to within a
200 meter radius of the true location. Our results are comparable
to the typical accuracy for handheld global positioning systems.
Short Bio:
Jun Han is a PhD student in Electrical and Computer Engineering at
Carnegie Mellon University, advised by Professor Adrian Perrig.
He received his B.S. and M.S. from the ECE Department at Carnegie Mellon
University, and worked as a software engineer at Samsung Electronics in the
Digital Media and Communications Business prior to joining the PhD program.
His research interests are security for mobile computing as well as networking
and systems security.