A Robust Passive Intrusion Detection System with Commodity WiFi Devices
Joint Authors
Ding, Enjie
Li, Xiansheng
Zhao, Tong
Zhang, Lei
Hu, Yanjun
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-03
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In recent years, due to the rapidly growing capacities of physical layer, device-free passive detection holds great importance for a broad range of application.
Most recent works focus on motion detection, intrusion detection, and vital sign with commodity WiFi devices in the indoor environment.
Conventional device-free motion detection techniques, which utilize received signal strength (RSS), may suffer from coarse granularity and high variability problems.
In resorting to the finer-grained channel state information (CSI), we propose PhaseMode, a novel approach for device-free motion detection leveraging CSI phase difference data between adjacent antenna pairs.
We implement our approach on commercial WiFi devices and validate its performance.
We conduct experiments in different test periods of three indoor environments; the results show that the proposed scheme achieves an average accuracy over 99.4% of motion detection in different scenarios.
American Psychological Association (APA)
Ding, Enjie& Li, Xiansheng& Zhao, Tong& Zhang, Lei& Hu, Yanjun. 2018. A Robust Passive Intrusion Detection System with Commodity WiFi Devices. Journal of Sensors،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1202165
Modern Language Association (MLA)
Ding, Enjie…[et al.]. A Robust Passive Intrusion Detection System with Commodity WiFi Devices. Journal of Sensors No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1202165
American Medical Association (AMA)
Ding, Enjie& Li, Xiansheng& Zhao, Tong& Zhang, Lei& Hu, Yanjun. A Robust Passive Intrusion Detection System with Commodity WiFi Devices. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1202165
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202165