Identifying passive UHF RFID tags using signal features at different Tari durations

In this work, we identify RFID tags based on their inherent signal features, which can be another level of security on top of the traditional way of demonstrating knowledge of a secret key. Identification is the process of discovering the true identity of an entity from the entire collection of similar entities and requires one-to-many matching. Passive UHF RFID tags are identified by their signal features. The backscattered signal is recorded and a set of features based on timing and/or power are extracted to create a fingerprint. A fingerprint consisting of timing and power features was less accurate than either a timing-only or power-only fingerprint. The fingerprint consisting of timing-only features was more accurate than the fingerprint consisting of power-only features. We propose to use a fingerprint consisting of timing-only features as another layer of security because the accuracy is better and the features are easier to measure.