Next Article in Journal
Fluid Sensing Using Quartz Tuning Forks—Measurement Technology and Applications
Next Article in Special Issue
Energy-Efficient Spatial Query-Centric Geographic Routing Protocol in Wireless Sensor Networks
Previous Article in Journal
A Broadband Mid-Infrared Trace Gas Sensor Using Supercontinuum Light Source: Applications for Real-Time Quality Control for Fruit Storage
Previous Article in Special Issue
Active Hyperspectral Sensor Based on MEMS Fabry-Pérot Interferometer
Open AccessArticle

Wi-Alarm: Low-Cost Passive Intrusion Detection Using WiFi

Shanghai Institute for Advanced Communication and Data Science, Key laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai University, Shanghai 200444, China
Author to whom correspondence should be addressed.
Sensors 2019, 19(10), 2335;
Received: 25 March 2019 / Revised: 18 April 2019 / Accepted: 22 April 2019 / Published: 21 May 2019
(This article belongs to the Special Issue Sensors In Target Detection)
In this paper, we present a WiFi-based intrusion detection system called Wi-Alarm. Motivated by our observations and analysis that raw channel state information (CSI) of WiFi is sensitive enough to monitor human motion, Wi-Alarm omits data preprocessing. The mean and variance of the amplitudes of raw CSI data are used for feature extraction. Then, a support vector machine (SVM) algorithm is applied to determine detection results. We prototype Wi-Alarm on commercial WiFi devices and evaluate it in a typical indoor scenario. Results show that Wi-Alarm reduces much computational expense without losing accuracy and robustness. Moreover, different influence factors are also discussed in this paper. View Full-Text
Keywords: WiFi; device-free passive detection; CSI; low cost WiFi; device-free passive detection; CSI; low cost
Show Figures

Figure 1

MDPI and ACS Style

Wang, T.; Yang, D.; Zhang, S.; Wu, Y.; Xu, S. Wi-Alarm: Low-Cost Passive Intrusion Detection Using WiFi. Sensors 2019, 19, 2335.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop