Name
Abstract | ||
|---|---|---|
By adopting keystroke dynamics, authentication applications can integrate advanced identity proofing technology for detecting fraud and prevent unauthorized access. However, understanding a user's keystroke dynamics behavior in real applications is a challenging task regarding that this behavior is notably changing over time. To mitigate this problem, we apply, in this paper, the long short-term m... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CW52790.2021.00056 | 2021 International Conference on Cyberworlds (CW) |
Keywords | DocType | ISBN |
Authentication,biometrics,security,keystroke dynamics,LSTM,BLSTM,deep learning | Conference | 978-1-6654-4065-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abir Mhenni | 1 | 0 | 0.34 |
| Christophe Rosenberger | 2 | 595 | 54.83 |
| Najoua Essoukri Ben Amara | 3 | 209 | 41.48 |