Who Is Charging My Phone? Identifying Wireless Chargers via Fingerprinting
This addresses security vulnerabilities in IoT devices during wireless charging, though it is incremental as it builds on existing fingerprinting techniques for a new application.
The paper tackles the problem of identifying malicious wireless chargers by creating fingerprints based on intrinsic non-linear distortion effects in charging circuits, resulting in the WirelessID system that detects potential short-range attacks.
With the increasing popularity of the Internet of Things(IoT) devices, the demand for fast and convenient battery charging services grows rapidly. Wireless charging is a promising technology for such a purpose and its usage has become ubiquitous. However, the close distance between the charger and the device being charged not only makes proximity-based and near field communication attacks possible, but also introduces a new type of vulnerabilities. In this paper, we propose to create fingerprints for wireless chargers based on the intrinsic non-linear distortion effects of the underlying charging circuit. Using such fingerprints, we design the WirelessID system to detect potential short-range malicious wireless charging attacks. WirelessID collects signals in the standby state of the charging process and sends them to a trusted server, which can extract the fingerprint and then identify the charger.