Xu, T;
(2021)
Waveform-Defined Privacy: A Signal Solution to Protect Wireless Sensing.
In:
IEEE Vehicular Technology Conference.
IEEE
(In press).
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Abstract
Wireless signals are commonly used for communications. Emerging applications are giving new functions to wireless signals, in which wireless sensing is the most attractive one. Channel state information (CSI) is not only the parameter for channel equalization in communications but also the indicator for wireless sensing. However, due to the broadcast nature of wireless signals, eavesdroppers can easily capture legitimate user signals and violate user privacy by measuring CSI. Moreover, the advancement of hardware simplifies illegal eavesdropping since smart devices can track over-the-air signals through walls. Therefore, this work considers a waveform-defined privacy (WDP) solution that can hide CSI phase information and therefore protect user privacy. Besides, the proposed waveform solution achieves better performance due to the use of a unique modulation mechanism. Additionally, by tuning a waveform parameter, the waveform can also enhance communication security.
| Type: | Proceedings paper |
|---|---|
| Title: | Waveform-Defined Privacy: A Signal Solution to Protect Wireless Sensing |
| Event: | 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) |
| Dates: | 27 Sep 2021 - 30 Sep 2021 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/VTC2021-Fall52928.2021.9625561 |
| Publisher version: | http://doi.org/10.1109/VTC2021-Fall52928.2021.9625... |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10142970 |
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