Spoofing attack detection using physical layer information in cross-technology communication

B Lu, Z Qin, M Yang, X Xia, R Zhang… - 2018 15th Annual IEEE …, 2018 - ieeexplore.ieee.org
B Lu, Z Qin, M Yang, X Xia, R Zhang, L Wang
2018 15th Annual IEEE International Conference on Sensing …, 2018ieeexplore.ieee.org
Recent advances in Cross-Technology Communication (CTC) enable the coexistence and
collaboration among heterogeneous wireless devices operating in the same ISM band (eg,
Wi-Fi, ZigBee, and Bluetooth in 2.4 GHz). However, state-of-the-art CTC schemes are
vulnerable to spoofing attacks since there is no practice authentication mechanism yet. This
paper proposes a scheme to enable the spoofing attack detection for CTC in heterogeneous
wireless networks by using physical layer information. First, we propose a model to detect …
Recent advances in Cross-Technology Communication (CTC) enable the coexistence and collaboration among heterogeneous wireless devices operating in the same ISM band (e.g., Wi-Fi, ZigBee, and Bluetooth in 2.4 GHz). However, state-of-the-art CTC schemes are vulnerable to spoofing attacks since there is no practice authentication mechanism yet. This paper proposes a scheme to enable the spoofing attack detection for CTC in heterogeneous wireless networks by using physical layer information. First, we propose a model to detect ZigBee packets and measure the corresponding Received Signal Strength (RSS) on Wi-Fi devices. Then, we design a collaborative mechanism between Wi-Fi and ZigBee devices to detect the spoofing attack. Finally, we implement and evaluate our methods through experiments on commercial off-the- shelf (COTS) Wi-Fi and ZigBee devices. Our results show that it is possible to measure the RSS of ZigBee packets on Wi-Fi device and detect spoofing attack with both a high detection rate and a low false positive rate in heterogeneous wireless networks.
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