Research Article
User Authentication Method Based on MKL for Keystroke and Mouse Behavioral Feature Fusion
Table 1
Summary of the related researches by using a combination of KD and MD.
| Ref. | Year | Users | Method | Performance |
| [6] | 2005 | 22 | NN | FAR of 1.312% and FRR of 0.651% | [31] | 2007 | 61 | DT and SVM | Error rate of 1.5% | [32] | 2009 | 20 | Statistical analysis, feed-forward network with back-propagation, and k-nearest neighbour (k-NN) | Accuracy of 82.22–96.4% | [33] | 2012 | 24 | Bayesian network (BN) | EER of 8.21% | [34] | 2014 | 31 | BN, DT, and SVM | FAR of 2.10% and FRR of 2.24% | [5] | 2015 | 67 | Naive Bayes (NB) and SVM | FAR of 0.1% and FRR of 0.2% | [7] | 2016 | 25 | DT, Counter-Propagation Artificial Neural Network (CPANN), Artificial Neural Network (ANN), and SVM | Accuracy of 62.2% | [35] | 2017 | 53 | ANN, CPANN, and SVM | FRR of 5.7% and FAR of 0.1% | [36] | 2018 | 41 | RF, SVM, DT, and BN | Accuracy of 80.6% |
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