Keystroke Dynamic PIN-based and Graphical-based Authentication System - Implemented in Android Compatible Phone
| Autor: | Jyun-Hao Lin, 林俊豪 |
|---|---|
| Rok vydání: | 2011 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 99 Since the touch screen handheld mobile devices have become widely used, people are able to conveniently access various data and information anywhere. Most user authentication methods for these mobile devices are PIN-based (Person Identification Number) authentication. However, PINs consist of 4 to 8 numbers and then it suffers from guessing and shoulder surfing attacks easily. Many studies have employed the KDA (Keystroke Dynamics-based Authentication) system, which verifies PIN correctness and also verifies the corresponding individual keystroke features. It provides additional security verification for PIN-based authentication. Unfortunately, unlike the text-based password KDA systems in QWERTY keyboards, different keypad sizes or layouts of mobile devices affect the PIN-based KDA system utility. In this study, the accuracy of authenticating the keystroke features are not affected by inconsistent keypads since the PINs is entered via the identical size of human-computer interface. Moreover, except for the original keystroke time features in the KDA systems, two novel keystroke features are found in touch screen handheld mobile devices, which are called "pressure" features and "size" features. This study uses these features to improve the keystroke data quality of PIN-based KDA system. On the other hand, we propose a new graphical-based password KDA system for touch screen handheld mobile devices. The proposed system uses graphical password to enlarge the password space size and uses the pressure features to improve the keystroke data quality. A user also enter his/her graphical password via the identical size of human-computer interface. Under this situation, the graphical-based password KDA system is able to promote the PIN-based KDA system utility in touch screen handheld mobile devices. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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