Paper Info
Title
SurFi: detecting surveillance camera looping attacks with wi-fi channel state information
Abstract
The proliferation of surveillance cameras has greatly improved the physical security of many security-critical properties including buildings, stores, and homes. However, recent surveillance camera looping attacks demonstrate new security threats --- adversaries can replay a seemingly benign video feed of a place of interest while trespassing or stealing valuables without getting caught. Unfortunately, such attacks are extremely difficult to detect in real-time due to cost and implementation constraints. In this paper, we propose SurFi to detect these attacks in real-time by utilizing commonly available Wi-Fi signals. In particular, we leverage that channel state information (CSI) from Wi-Fi signals also perceives human activities in the place of interest in addition to surveillance cameras. SurFi processes and correlates the live video feeds and the Wi-Fi CSI signals to detect any mismatches that would identify the presence of the surveillance camera looping attacks. SurFi does not require the deployment of additional infrastructure because Wi-Fi transceivers are easily found in the urban indoor environment. We design and implement the SurFi system and evaluate its effectiveness in detecting surveillance camera looping attacks. Our evaluation demonstrates that SurFi effectively identifies attacks with up to an attack detection accuracy of 98.8% and 0.1% false positive rate.
Year
DOI
Venue
2019
10.1145/3317549.3324928
Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks
Keywords
Field
DocType
CSI, surveillance video, wi-fi
Computer science,Computer network,Surveillance camera,Channel state information
Conference
ISBN
Citations 
PageRank 
978-1-4503-6726-4
1
0.35
References 
Authors
0
5
Name
Order
Citations
PageRank
Nitya Lakshmanan110.69
Inkyu Bang2257.78
Min Suk Kang310211.46
Jun Han434932.20
Jong Taek Lee523110.18