Keystroke pressure-based typing biometrics authentication system using support vector machines
Security of an information system depends to a large extent on its ability to authenticate legitimate users as well as to withstand attacks of various kinds. Confidence in its ability to provide adequate authentication is, however, waning. This is largely due to the wrongful use of passwords by m...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Springer-Verlag Berlin Heidelberg
2007
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/7875/1/Keystroke_Pressure-Based_Typing_Biometrics.pdf http://irep.iium.edu.my/7875/ https://link.springer.com/chapter/10.1007%2F978-3-540-74477-1_8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Security of an information system depends to a large extent on its
ability to authenticate legitimate users as well as to withstand attacks of various
kinds. Confidence in its ability to provide adequate authentication is, however,
waning. This is largely due to the wrongful use of passwords by many users. In
this paper, the design and development of keystroke pressure-based typing
biometrics for individual user’s verification which based on the analysis of
habitual typing of individuals is discussed. The combination of maximum
pressure exerted on the keyboard and time latency between keystrokes is used
as features to create typing patterns for individual users so as to recognize
authentic users and to reject impostors. Support vector machines (SVMs),
which is relatively new machine learning, is used as a pattern matching method.
The effectiveness of the proposed system is evaluated based upon False Reject
Rate (FRR) and False Accept Rate (FAR). A series of experiment shows that the
proposed system is effective for biometric-based security system. |
|---|