Abstract
FM-based indoor localization identifies the location of an user by looking at the received signal strength (RSS) at the user’s location. In this paper, we discover a spoofing attack which is able to cause the FM-based indoor localization system to malfunction. The newly discovered, easy launched spoofing attack which enables the adversary to deceive a victim user to obtain a fake indoor location through remotely manipulating the RSS at the user’s location simultaneously. By analyzing the features of the received and FM signals in the frequency domain, we propose a defense method to deal with this attack. The proposed method contains two levels of detections. Specifically, the first level of detection distinguishes between the normal signal and the attack/noise signal, and the second level of detection finally detects the existence of the attack signal. We perform real-world experiments on Universal Software Radio Peripherals (USRPs) to spoof a target location to four different locations 6 - 32 meters away from the target location. The experiment results show a promising performance of the proposed defense method with a false negative rate and a false alarm rate of 3.9% and 6.4%, respectively.
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This work is supported by the National Natural Science Foundation of China (No. 61170064, No. U1636209 and No. U1536202) and the “111 Project” of China (No. B08038).
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This article is part of the Topical Collection: Special Issue Security and Privacy of IoT
Guest Editors: Tarik Taleb, Zonghua Zhang, and Hua Wang
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Li, Z., Pei, Q. & Liu, Y. Spoofing attacks and countermeasures in fm indoor localization system. World Wide Web 21, 219–240 (2018). https://doi.org/10.1007/s11280-017-0457-x
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DOI: https://doi.org/10.1007/s11280-017-0457-x