Core Concepts
Secure human-centered wireless sensing requires understanding privacy vulnerabilities and implementing defenses.
Abstract
The content discusses the importance of secure human-centered wireless sensing, focusing on privacy vulnerabilities and defense strategies. It covers the abstract, introduction, method, threat model, wireless sensing principles, various wireless technologies, workflow of inference attacks, taxonomy of existing attacks and defenses, prevention strategies like geofencing and nulling, obfuscation techniques such as randomization and jamming, and detection methods. The analysis emphasizes the need for systematic understanding of privacy implications in wireless sensing systems.
Stats
Human-centered wireless sensing aims to understand human activities using diverse signals.
WiFi is extensively used for human-centered wireless sensing.
Passive UHF RFID tags are widely deployed for IoT applications.
mmWave radar provides fine-grained sensing accuracy.
VLC has a short range compared to WiFi but uses large bandwidth for accurate sensing.