Paper Info
Title
WiVo: Enhancing the Security of Voice Control System via Wireless Signal in IoT Environment.
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.
Year
DOI
Venue
2018
10.1145/3209582.3209591
Mobihoc '18: The Eighteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing Los Angeles CA USA June, 2018
Keywords
Field
DocType
Liveness Detection, Voice Control System, Wireless Side Channels
Wireless,Spoofing attack,Computer science,Testbed,Computer network,Speaker recognition,User interface,Replay attack,Liveness,Voice command device
Conference
ISBN
Citations 
PageRank 
978-1-4503-5770-8
9
0.53
References 
Authors
15
7
Name
Order
Citations
PageRank
Yan Meng1878.47
Zichang Wang2100.87
Wei Zhang3966.50
Peilin Wu4100.88
Haojin Zhu52196124.62
Juha Karhunen6485.10
Yao Liu7100980.41