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- W2912285713 abstract "In recent years, the device-free intrusion detection system is advanced greatly and redefined some services, such as home security and baby monitoring. Up to now, there are emerging many intrusion detection systems which employ different devices such as camera and sensors. However, most of them have privacy concerns and the burden of additional sensors. Using WiFi intrusion detection approaches can achieve a pretty good detection rate, while the intrusion detection profiles may easily drift with environment change, e.g. the changes caused by the movement of router. To address these issues, we propose a whole-home level intrusion detection system based on RSSI (Received Signal Strength Indictor) measurements of WiFi. It builds RSSI characteristic profiles by using non-parametric statistical method and uses a joint detection scheme by using multiple data streams of WiFi node pairs. Further, in order to increase the adaptability and robustness of the system, we develop an auto-updating approach for reference profiles by detecting distribution change and the fluctuation of RSSI parameters. Experimental results demonstrate that the proposed system can achieve the consistent detection rate closing to 100% and the updating method can rescue the detection rate from 37.5% to 96.1% in practical rooms’ environment." @default.
- W2912285713 created "2019-02-21" @default.
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- W2912285713 date "2018-11-01" @default.
- W2912285713 modified "2023-09-26" @default.
- W2912285713 title "An Adaptive and Robust Device-Free Intrusion Detection Using Ubiquitous WiFi Signals" @default.
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- W2912285713 doi "https://doi.org/10.1109/icdsp.2018.8631699" @default.
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