刘佳

南京大学计算机科学与技术系，副研究员

Title: Eingerprint: Robust Energy-related Fingerprinting for Passive RFID Tags

Abstract: 

With the proliferation of RFID-enabled applications, tag authentication is becoming increasingly important in our daily life, e.g., anti-counterfeiting or infant security. Existing work either requires a purpose-built device to extract the authentication features or is sensitive to environmental conditions, which is not scalable or robust in practice. This talk presents a new energy-related fingerprint called Eingerprint to authenticate passive tags with commodity RFID devices. The competitive advantage of Eingerprint is that it takes the electrical energy stored in a tag's resistor-capacitor circuit as the fingerprint, which is fully compatible with the RFID standard EPCglobal Gen2 and also robust to environmental changes such as tag position, communication distance, transmit power, and multi-path effects. Experiment results show that Eingerprint is able to achieve a high authentication accuracy of 99.4% with only commodity RFID devices.

报告人简介：

       刘佳，南京大学计算机科学与技术系，副研究员。2016年于南京大学计算机科学与技术系获得博士学位。主要研究方向为射频识别与感知技术。近年来在USENIX NSDI，USENIX ATC, IEEE INFOCOM，IEEE ICNP，IEEE ICDCS，IEEE/ACM TNET，IEEE TMC，IEEE TCOM等国际会议与期刊上发表学术论文40余篇，授权发明专利近10项。曾获江苏省计算机学会优秀博士学位论文奖，ACM南京分会新星奖等荣誉。自主研发RFID移动盘点定位系统，获第46届日内瓦国际发明展特别金奖，科研成果转化产值超过千万元。