CSI Obfuscation: Single-Antenna Transmitters Can Not Hide from Adversarial Multi-Antenna Radio Localization Systems
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Abstract (arXiv)
The ability of modern telecommunication systems to locate users and objects in the radio environment raises justified privacy concerns. To prevent unauthorized localization, single-antenna transmitters can obfuscate the signal by convolving it with a randomized sequence prior to transmission, which alters the channel state information (CSI) estimated at the receiver. However, this strategy is only effective against CSI-based localization systems deploying single-antenna receivers. Inspired by the concept of blind multichannel identification, we propose a simple CSI recovery method for multi-antenna receivers to extract channel features that ensure reliable user localization regardless of the transmitted signal. We comparatively evaluate the impact of signal obfuscation and the proposed recovery method on the localization performance of CSI fingerprinting, channel charting, and classical triangulation using real-world channel measurements. This work aims to demonstrate the necessity for further efforts to protect the location privacy of users from adversarial radio-based localization systems.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 13 of its 23 references that are in the map. First posted on arXiv 4 Aug 2025.
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References · 13
- 2018Channel Charting: Locating Users within the Radio Environment using Channel State Informationcited by 40
- 2017Deep Convolutional Neural Networks for Massive MIMO Fingerprint-Based Positioningcited by 16
- 2022A Distributed Massive MIMO Channel Sounder for "Big CSI Data"-driven Machine Learningcited by 11
- 2023Angle-Delay Profile-Based and Timestamp-Aided Dissimilarity Metrics for Channel Chartingcited by 11
- 2020DNN-based Localization from Channel Estimates: Feature Design and Experimental Resultscited by 10
- 2018On Deep Learning-based Massive MIMO Indoor User Localizationcited by 8
- 2015Fingerprinting-Based Positioning in Distributed Massive MIMO Systemscited by 4
- 2018Et Tu Alexa? When Commodity WiFi Devices Turn into Adversarial Motion Sensorscited by 4
- 2023Augmenting Channel Charting with Classical Wireless Source Localization Techniquescited by 4
- 2022Attacking and Defending Deep-Learning-Based Off-Device Wireless Positioning Systemscited by 3
- 2017A Study of MAC Address Randomization in Mobile Devices and When it Failscited by 2
- 2020Stay Connected, Leave no Trace: Enhancing Security and Privacy in WiFi via Obfuscating Radiometric Fingerprintscited by 2
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