The Wasserstein metric is used to measure the similarity of each two hotspots by their signal's frequency offset distribution features. Then, we apply the clustering method to find the fake hotspots which are generated by the same device.
Wasserstein Metric‐Based Location Spoofing Attack Detection in WiFi ...
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Apr 7, 2021 · In this paper, an attack detection method based on the Wasserstein metric and DBSCAN is proposed to address the problem of location spoofing attacks in WPS.
Apr 7, 2021 · We present a Wasserstein metric-based attack detection scheme to counter the location spoofing attacks in the WPS.
Abstract: WiFi positioning systems (WPS) have been introduced as parts of 5G location services (LCS) to provide fast positioning results of user devices in ...
Jan 1, 2021 · The Wasserstein metric is used to measure the similarity of each two hotspots by their signal's frequency offset distribution features. Then, we ...
Above-average Attention Score compared to outputs of the same age (53rd percentile) · Average Attention Score compared to outputs of the same age and source.
Location spoofing attack detection based on the Wasserstein metric was introduced by Tian et al. [20] . The detection of spoofed APs is based on the assumption ...
This work presents a Wasserstein metric-based attack detection scheme to counter the location spoofing attacks in the WPS, and sets up experimental tests by ...
Apr 25, 2024 · Yinghua Tian , Nae Zheng , Xiang Chen , Liuyang Gao : Wasserstein Metric-Based Location Spoofing Attack Detection in WiFi Positioning ...
We present a Wasserstein metric-based attack detection scheme to counter the location spoofing attacks in t