| Title | BioDraw: Reliable Multi-Factor User Authentication with One Single Finger Swipe |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Liu, Jianwei, Zou, Xiang, Han, Jinsong, Lin, Feng, Ren, Kui |
| Conference Name | 2020 IEEE/ACM 28th International Symposium on Quality of Service (IWQoS) |
| Date Published | jun |
| Keywords | authentication, biometrics (access control), feature extraction, Human Behavior, human factors, Impedance, Metrics, Multi-Factor User Authentication, multifactor authentication, Pattern recognition, pubcrawl, radiofrequency identification, resilience, Resiliency, RFID, slotted ALOHA |
| Abstract | Multi-factor user authentication (MFUA) becomes increasingly popular due to its superior security comparing with single-factor user authentication. However, existing MFUAs require multiple interactions between users and different authentication components when sensing the multiple factors, leading to extra overhead and bad use experiences. In this paper, we propose a secure and user-friendly MFUA system, namely BioDraw, which utilizes four categories of biometrics (impedance, geometry, composition, and behavior) of human hand plus the pattern-based password to identify and authenticate users. A user only needs to draw a pattern on a RFID tag array, while four biometrics can be simultaneously collected. Particularly, we design a gradient-based pattern recognition algorithm for pattern recognition and then a CNN-LSTM-based classifier for user recognition. Furthermore, to guarantee the systemic security, we propose a novel anti-spoofing scheme, called Binary ALOHA, which utilizes the inhabit randomness of RFID systems. We perform extensive experiments over 21 volunteers. The experiment result demonstrates that BioDraw can achieve a high authentication accuracy (with a false reject rate less than 2%) and is effective in defending against various attacks. |
| DOI | 10.1109/IWQoS49365.2020.9212855 |
| Citation Key | liu_biodraw_2020 |
BioDraw: Reliable Multi-Factor User Authentication with One Single Finger Swipe