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[PAST EVENT] Ge Peng, Computer Science - Dissertation Proposal
August 19, 2015
10am - 11:30am
Abstract:
Smart devices are experiencing rapid development and great popularity. Various smart products available nowadays have largely enriched people's lives. While users are enjoying their smart devices, there are two major user concerns: energy efficiency and privacy protection. In this dissertation, we propose solutions to enhance energy efficiency and privacy protection on smart devices.
First, we study different ways to handle WiFi broadcast frames during smartphone suspend mode. We reveal the dilemma of existing methods: either receive all of them suffering high power consumption, or receive none of them sacrificing functionalities. To address the dilemma, we propose Software Broadcast Filter (SBF). SBF is smarter than the receive-none method as it only blocks useless broadcast frames and does not impair application functionalities. SBF is also more energy efficient than the receive-all method. Our trace driven evaluation shows that SBF can save up to 49.9% energy consumption compared to the receive-all method.
Second, to better protect user privacy, we propose a continuous and noninvasive authentication system for Google Glass, named GlassGuard. GlassGuard discriminates the owner and an imposter with biometric features from touch gestures and voice commands, which are all available during normal user interaction with Google Glass. With data collected from 32 users, we show that GlassGuard achieves 99% detection rate and 0.5% false alarm rate after 3.5 user events on average when all types of user events are available with equal probability. Under five typical usage scenarios, the system has a detection rate above 93% and a false alarm rate below 3% after less than 5 user events.
Bio:
Ge Peng has been working on her Ph.D. degree in the Department of Computer Science, College of William & Mary since Fall 2011. She is working with Dr. Gang Zhou in the fields of wireless networking, smartphone energy efficiency, and ubiquitous computing. Before joining College of William & Mary, she was a graduate student in Institute of Computing Technology, Chinese Academy of Science (CAS). Ge Peng got her B.S. in 2008 from National University of Defense Technology, China.
Smart devices are experiencing rapid development and great popularity. Various smart products available nowadays have largely enriched people's lives. While users are enjoying their smart devices, there are two major user concerns: energy efficiency and privacy protection. In this dissertation, we propose solutions to enhance energy efficiency and privacy protection on smart devices.
First, we study different ways to handle WiFi broadcast frames during smartphone suspend mode. We reveal the dilemma of existing methods: either receive all of them suffering high power consumption, or receive none of them sacrificing functionalities. To address the dilemma, we propose Software Broadcast Filter (SBF). SBF is smarter than the receive-none method as it only blocks useless broadcast frames and does not impair application functionalities. SBF is also more energy efficient than the receive-all method. Our trace driven evaluation shows that SBF can save up to 49.9% energy consumption compared to the receive-all method.
Second, to better protect user privacy, we propose a continuous and noninvasive authentication system for Google Glass, named GlassGuard. GlassGuard discriminates the owner and an imposter with biometric features from touch gestures and voice commands, which are all available during normal user interaction with Google Glass. With data collected from 32 users, we show that GlassGuard achieves 99% detection rate and 0.5% false alarm rate after 3.5 user events on average when all types of user events are available with equal probability. Under five typical usage scenarios, the system has a detection rate above 93% and a false alarm rate below 3% after less than 5 user events.
Bio:
Ge Peng has been working on her Ph.D. degree in the Department of Computer Science, College of William & Mary since Fall 2011. She is working with Dr. Gang Zhou in the fields of wireless networking, smartphone energy efficiency, and ubiquitous computing. Before joining College of William & Mary, she was a graduate student in Institute of Computing Technology, Chinese Academy of Science (CAS). Ge Peng got her B.S. in 2008 from National University of Defense Technology, China.
Contact
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