Ensuring that the Sensor information from Wireless Sensors does not reveal any user or device information.
Working with RF sensors assisted systems for the past few years, I have come to realize their great strengths in sensing objects passively. But it also means someone else can use RF-sensors to invade my privacy by passively listening in to the RF-signals I am transmitting. And so, I have come to realize the beast I have created by enabling acurate and deployable RF location and context systems. My latest interests in developing security and privacy solutions for RF sensors. Where like I said anyone can passively listen in to compromise one’s privacy. Where I specifically want to start by looking at more physical layer information aided solutions for privacy at the edge and also look into privacy and security at the cloud which let’s say is running Dloc to predict user’s location. Where more solutions along the lines of federated learning ad differential privacy would be needed
The attacker can either passively listen through a passive device or even compromise the sensor network to compromise the user sensed information like localization and other aspects. So, I worked towards developing a RF-privacy system that when turned ON can confuse the attacker or the snooper regarding the device’s location in [MIRAGE](https://wcsng.ucsd.edu/mirage/). We can further develop differential-privacy and authentication systems enabled byt federated-learning approaches to enable privacy for wireless sensors and learning based wireless sensing systems.
References
2023
Users are Closer than they Appear: Protecting User Location from WiFi APs
Wi-Fi-based indoor localization has now matured for over a decade. Most of the current localization algorithms rely on the Wi-Fi access points (APs) in the enterprise network to localize the Wi-Fi user accurately. Thus, the Wi-Fi user’s location information could be easily snooped by an attacker listening through a compromised Wi-Fi AP. With indoor localization and navigation being the next step towards automation, it is important to give users the capability to defend against such attacks. In this paper, we present MIRAGE, a system that can utilize the downlink physical layer information to create a defense against an attacker snooping on a Wi-Fi user’s location information. MIRAGE achieves this by utilizing the beamforming capability of the transmitter that is already part of the Wi-Fi standard protocols. With this initial idea, we have demonstrated that the user can obfuscate his/her location from the Wi-Fi AP always with no compromise to the throughput of the existing Wi-Fi communication system through the real-world prototype, and reduce the user location accuracy of the attacker from 2.3m to more than 10m through simulation.
@inproceedings{ayyalasomayajula2023users,title={Users are Closer than they Appear: Protecting User Location from WiFi APs},author={Ayyalasomayajula, Roshan and Arun, Aditya and Sun, Wei and Bharadia, Dinesh},booktitle={Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications},pages={124--130},year={2023},url={https://dl.acm.org/doi/pdf/10.1145/3572864.3580345},}
