Name
Title | ||
|---|---|---|
VibWrite: Towards Finger-input Authentication on Ubiquitous Surfaces via Physical Vibration. |
Abstract | ||
|---|---|---|
The goal of this work is to enable user authentication via finger inputs on ubiquitous surfaces leveraging low-cost physical vibration. We propose VibWrite that extends finger-input authentication beyond touch screens to any solid surface for smart access systems (e.g., access to apartments, vehicles or smart appliances). It integrates passcode, behavioral and physiological characteristics, and surface dependency together to provide a low-cost, tangible and enhanced security solution. VibWrite builds upon a touch sensing technique with vibration signals that can operate on surfaces constructed from a broad range of materials. It is significantly different from traditional password-based approaches, which only authenticate the password itself rather than the legitimate user, and the behavioral biometrics-based solutions, which usually involve specific or expensive hardware (e.g., touch screen or fingerprint reader), incurring privacy concerns and suffering from smudge attacks. VibWrite is based on new algorithms to discriminate fine-grained finger inputs and supports three independent passcode secrets including PIN number, lock pattern, and simple gestures by extracting unique features in the frequency domain to capture both behavioral and physiological characteristics such as contacting area, touching force, and etc. VibWrite is implemented using a single pair of low-cost vibration motor and receiver that can be easily attached to any surface (e.g., a door panel, a desk or an appliance). Our extensive experiments demonstrate that VibWrite can authenticate users with high accuracy (e.g., over 95% within two trials), low false positive rate (e.g., less 3%) and is robust to various types of attacks.
|
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3133956.3133964 | CCS |
Keywords | Field | DocType |
User authentication, finger-input, physical vibration, ubiquitous surfaces | Frequency domain,Authentication,Computer security,Computer science,Fingerprint recognition,Gesture,Lock (computer science),Password,Biometrics,Desk | Conference |
ISBN | Citations | PageRank |
978-1-4503-4946-8 | 7 | 0.42 |
References | Authors | |
22 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian Liu | 1 | 289 | 59.26 |
| Chen Wang | 2 | 71 | 6.39 |
| Yingying Chen | 3 | 2495 | 193.14 |
| Nitesh Saxena | 4 | 1204 | 82.45 |