Name
Abstract | ||
|---|---|---|
Biometric data can be used as "something you are" in authentication systems, but if a biometric is compromised by a malicious entity, the genuine user can no longer use it because it cannot be easily changed. Dynamic biometrics may offer a practical alternative, as they capture both an inherence factor along with a changeable knowledge factor in a single step. This paper investigates dynamic biometrics and whether they offer useful security authentication properties compared to conventional biometrics. In particular the paper focuses on one type of dynamic biometry, authentication based on Gesture Recognition, and presents a proof of concept experiment. Security characteristics of examples from three classes of dynamic biometrics are compared to a selection of common physiological ("fixed") biometrics, leading to the conclusion that in addition to providing one-step, two factor authentication, dynamic biometry may provide privacy benefits in some circumstances. |
Year | Venue | Field |
|---|---|---|
2017 | 2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | Algorithm design,Authentication,Computer security,Computer science,Inherence,Gesture recognition,Proof of concept,Biometrics,Multi-factor authentication |
DocType | ISSN | Citations |
Conference | 1550-3607 | 0 |
PageRank | References | Authors |
0.34 | 17 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benoit Ducray | 1 | 2 | 0.70 |
| Sheila Cobourne | 2 | 5 | 2.52 |
| Keith Mayes | 3 | 376 | 37.66 |
| Konstantinos Markantonakis | 4 | 568 | 66.08 |