Performance Analysis of Touch-Interaction Behavior for Active Smartphone Authentication
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 273243-92335-1292
- Type
- D - Journal article
- DOI
-
10.1109/TIFS.2015.2503258
- Title of journal
- IEEE Transactions on Information Forensics and Security
- Article number
- -
- First page
- 498
- Volume
- 11
- Issue
- 3
- ISSN
- 1556-6013
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2015
- URL
-
https://doi.org/10.1109/TIFS.2015.2503258
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
E - Secure and Resilient Systems
- Citation count
- 31
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Passwords are endemic for gaining access to computer systems, and are at the same time perhaps one of the biggest security vulnerabilities in the computer industry. The work in this paper recognizes the difficulties of passwords by replacing them with a personal behavioral biometric that is unique to an individual, and is neither crackable nor subject to theft and fraudulent re-use. The methods and results are applicable to authentication on any touch-sensitive system. Others have examined touch biometrics, but this paper examined them from the perspective of reliability and repeatability, which was a new approach at the time.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -