Name
Abstract | ||
|---|---|---|
In this paper, we provide a comprehensive review of state-of-the-art results for biometric-based authentication schemes in mobile computing devices. We select and examine twenty biometric-based authentication schemes developed for mobile computing devices. We discuss current issues that hinder biometrics models' development and deployment on a large scale, including human physiological (e.g., face, eyes, fingerprints-palm, or electrocardiogram) and behavioral features (e.g., signature, voice, gait, or keystroke). Threat models and countermeasures used by biometrics-based authentication schemes for mobile computing devices are also presented. Throughout, we identify the pitfalls and limitations of the existing biometric-based authentication schemes for mobile computing devices. Based on the current taxonomy, we discuss the research problems and outline directions for future research efforts in biometrics-based authentication schemes for mobile devices. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/PAIS.2018.8598491 | 2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS) |
Keywords | Field | DocType |
Security,Authentication,Mobile Computing Devices,Biometrics | Mobile computing,Software deployment,Authentication,Biometrics access control,Threat model,Computer science,Computer security,Keystroke logging,Mobile device,Biometrics | Conference |
ISBN | Citations | PageRank |
978-1-5386-4239-9 | 0 | 0.34 |
References | Authors | |
41 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed Amine Ferrag | 1 | 208 | 21.79 |
| Leandros A. Maglaras | 2 | 256 | 35.13 |
| Abdelouahid Derhab | 3 | 277 | 32.68 |
| Abdelaziz Amara Korba | 4 | 0 | 0.34 |