ECE Seminar* Speaker: Dr. Xiaohui Liang, University of Massachusetts Boston (UMB)
When: Friday,
October 25, 2019
2:00 PM
-
3:00 PM
Where: Textiles Building 101E
Cost: Free
Description: Topic: Vivo: Enhancing the Security of Voice Control System Via Wireless Signal in IOT Environment
Location: College of Engineering Conference Room, Textiles Building (TXT), Room 101E
Abstract:
With the prevalent of smart devices and home automations, voice command has become a popular User Interface (UI) channel in the IoT environment. Although Voice Control System (VCS) has the advantages of great convenience, it is extremely vulnerable to the spoofing attack (e.g., replay attack, hidden/inaudible command attack) due to its broadcast nature. In this study, we present WiVo, a device-free voice liveness detection system based on the prevalent wireless signals generated by IoT devices without any additional devices or sensors carried by the users. The basic motivation of WiVo is to distinguish the authentic voice command from a spoofed one via its corresponding mouth motions, which can be captured and recognized by wireless signals. To achieve this goal, WiVo builds a theoretical model to characterize the correlation between wireless signal dynamics and the user's voice syllables. WiVo extracts the unique features from both voice and wireless signals, and then calculates the consistency between these different types of signals in order to determine whether the voice command is generated by the authentic user of VCS or an adversary. To evaluate the effectiveness of WiVo, we build a testbed based on Samsung SmartThings framework and include WiVo as a new application, which is expected to significantly enhance the security of the existing VCS. We have evaluated WiVo with 6 participants and different voice commands. Experimental evaluation results demonstrate that WiVo achieves the overall 99% detection rate with 1% false accept rate and has a low latency.
Biography:
Xiaohui Liang is an Assistant Professor with the Department of Computer Science at University of Massachusetts, Boston (UMB). He was a Postdoctoral Researcher at Dartmouth College in 2014-2015. He received the PhD degree (awarded Outstanding Achievement in Graduate Studies) in Electrical and Computer Engineering, University of Waterloo, Canada, in 2013. He received the BSc (with the University Excellent Undergraduate Thesis Award) and MSc degree (with the Shanghai Excellent Master Thesis Award) in Computer Science from Shanghai Jiao Tong University, China, in 2006 and 2009, respectively. His research interests include networking security, wireless security, and security for mobile systems. He has published over 100 refereed journal and conference papers, and his H-Index is 44 as of September, 2019 according to Google Scholar. He is a member of IEEE and ACM. He received the Award for Excellence in Scalable Computing for Early Career Researchers from IEEE Technical Committee on Scalable Computing in 2017, the Best Land Transportation Paper Award from IEEE Vehicular Technology Society in 2017, the Internet of Things Technology Research Award from Google in 2016, the Best Paper Award in BodyNets 2010. He is the Single PI of an NIH R01 Project and the Lead PI of an NSF Project. Check http://faculty.umb.edu/xiaohui.liang/.
The Seminars is open to the public free of charge.
*For further information, please contact Dr. Honggang Wang at 508.999.8469, or by via email at hwang1@umassd.edu.
Location: College of Engineering Conference Room, Textiles Building (TXT), Room 101E
Abstract:
With the prevalent of smart devices and home automations, voice command has become a popular User Interface (UI) channel in the IoT environment. Although Voice Control System (VCS) has the advantages of great convenience, it is extremely vulnerable to the spoofing attack (e.g., replay attack, hidden/inaudible command attack) due to its broadcast nature. In this study, we present WiVo, a device-free voice liveness detection system based on the prevalent wireless signals generated by IoT devices without any additional devices or sensors carried by the users. The basic motivation of WiVo is to distinguish the authentic voice command from a spoofed one via its corresponding mouth motions, which can be captured and recognized by wireless signals. To achieve this goal, WiVo builds a theoretical model to characterize the correlation between wireless signal dynamics and the user's voice syllables. WiVo extracts the unique features from both voice and wireless signals, and then calculates the consistency between these different types of signals in order to determine whether the voice command is generated by the authentic user of VCS or an adversary. To evaluate the effectiveness of WiVo, we build a testbed based on Samsung SmartThings framework and include WiVo as a new application, which is expected to significantly enhance the security of the existing VCS. We have evaluated WiVo with 6 participants and different voice commands. Experimental evaluation results demonstrate that WiVo achieves the overall 99% detection rate with 1% false accept rate and has a low latency.
Biography:
Xiaohui Liang is an Assistant Professor with the Department of Computer Science at University of Massachusetts, Boston (UMB). He was a Postdoctoral Researcher at Dartmouth College in 2014-2015. He received the PhD degree (awarded Outstanding Achievement in Graduate Studies) in Electrical and Computer Engineering, University of Waterloo, Canada, in 2013. He received the BSc (with the University Excellent Undergraduate Thesis Award) and MSc degree (with the Shanghai Excellent Master Thesis Award) in Computer Science from Shanghai Jiao Tong University, China, in 2006 and 2009, respectively. His research interests include networking security, wireless security, and security for mobile systems. He has published over 100 refereed journal and conference papers, and his H-Index is 44 as of September, 2019 according to Google Scholar. He is a member of IEEE and ACM. He received the Award for Excellence in Scalable Computing for Early Career Researchers from IEEE Technical Committee on Scalable Computing in 2017, the Best Land Transportation Paper Award from IEEE Vehicular Technology Society in 2017, the Internet of Things Technology Research Award from Google in 2016, the Best Paper Award in BodyNets 2010. He is the Single PI of an NIH R01 Project and the Lead PI of an NSF Project. Check http://faculty.umb.edu/xiaohui.liang/.
The Seminars is open to the public free of charge.
*For further information, please contact Dr. Honggang Wang at 508.999.8469, or by via email at hwang1@umassd.edu.
Contact:
ECE: Electrical & Computer Engineering Department 508.999.9164 http://www.umassd.edu/engineering/ece/
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering