Research Article
Sequence Alignment with Dynamic Divisor Generation for Keystroke Dynamics Based User Authentication
Table 3
The result of AUC for six algorithms in Dataset number 2. The highest value of AUC result is in bold.
| Subject | Algorithm | ā | SADD | Sequence alignment | Median vector proximity | Mahalanobis | Manhattan | Euclidean |
| 1 | 0.88624 | 0.90732 | 0.87691 | 0.84844 | 0.82584 | 0.79356 | 2 | 0.95560 | 0.95577 | 0.93895 | 0.88018 | 0.86560 | 0.85034 | 3 | 0.98590 | 0.97993 | 0.96152 | 0.96926 | 0.90524 | 0.85016 | 4 | 0.99222 | 0.99102 | 0.99439 | 0.97216 | 0.96684 | 0.93098 | 5 | 0.94865 | 0.96462 | 0.94441 | 0.96218 | 0.93528 | 0.95348 | 6 | 0.98901 | 0.99115 | 0.98706 | 0.97972 | 0.95880 | 0.93774 | 7 | 0.99928 | 0.99776 | 0.99636 | 0.98944 | 0.99494 | 0.98914 | 8 | 0.99156 | 0.98971 | 0.98889 | 0.96762 | 0.96574 | 0.96284 | 9 | 0.99926 | 0.99839 | 0.99928 | 0.97772 | 0.98964 | 0.95676 | 10 | 0.99645 | 0.99884 | 0.98651 | 0.96102 | 0.96532 | 0.94166 | 11 | 0.98800 | 0.98809 | 0.95766 | 0.93818 | 0.88172 | 0.85402 | 12 | 0.91010 | 0.87188 | 0.88252 | 0.91010 | 0.82332 | 0.81468 | 13 | 0.99851 | 0.99646 | 0.99836 | 0.99184 | 0.98646 | 0.97188 | 14 | 0.98852 | 0.98281 | 0.98131 | 0.92130 | 0.90544 | 0.88206 | 15 | 0.99350 | 0.99477 | 0.98994 | 0.97628 | 0.96714 | 0.93850 | 16 | 0.98241 | 0.97288 | 0.95340 | 0.93130 | 0.85616 | 0.84848 | 17 | 0.95874 | 0.96397 | 0.94673 | 0.94258 | 0.94676 | 0.93334 | 18 | 0.99080 | 0.98800 | 0.99653 | 0.98998 | 0.90300 | 0.68836 | 19 | 0.97484 | 0.97116 | 0.99244 | 0.99272 | 0.94462 | 0.87930 | 20 | 0.98398 | 0.98143 | 0.97688 | 0.95914 | 0.94462 | 0.91040 | 21 | 0.99048 | 0.98306 | 0.98878 | 0.97928 | 0.96214 | 0.94290 | 22 | 0.98967 | 0.98849 | 0.98830 | 0.96448 | 0.92518 | 0.86614 | 23 | 0.99664 | 0.98886 | 0.97813 | 0.98912 | 0.96066 | 0.91082 | 24 | 0.98587 | 0.98621 | 0.98557 | 0.96422 | 0.96584 | 0.93000 | 25 | 0.91843 | 0.90906 | 0.95942 | 0.91256 | 0.92510 | 0.86990 | 26 | 0.84544 | 0.85266 | 0.85673 | 0.84346 | 0.76024 | 0.73304 | 27 | 0.87100 | 0.93043 | 0.82663 | 0.79592 | 0.81164 | 0.83336 | 28 | 0.93937 | 0.93577 | 0.93986 | 0.93832 | 0.82262 | 0.6955 | 29 | 0.97335 | 0.98495 | 0.91598 | 0.89790 | 0.82654 | 0.77378 | 30 | 0.94988 | 0.94329 | 0.89873 | 0.93106 | 0.81544 | 0.78808 | 31 | 0.99886 | 0.99779 | 0.99926 | 0.99964 | 0.98600 | 0.96808 | 32 | 0.97698 | 0.98168 | 0.94639 | 0.94178 | 0.92584 | 0.88910 | 33 | 0.98258 | 0.97630 | 0.97367 | 0.95766 | 0.93922 | 0.90810 | 34 | 0.99577 | 0.99215 | 0.99290 | 0.94522 | 0.93410 | 0.90136 | 35 | 0.95729 | 0.92842 | 0.96261 | 0.87956 | 0.75252 | 0.61538 | 36 | 0.99026 | 0.98381 | 0.99333 | 0.93214 | 0.92598 | 0.87978 | 37 | 0.99893 | 0.99773 | 0.99888 | 0.96974 | 0.98948 | 0.96940 | 38 | 0.99652 | 0.99269 | 0.99730 | 0.99290 | 0.96702 | 0.90490 | 39 | 0.97834 | 0.97180 | 0.95770 | 0.97590 | 0.94078 | 0.90424 | 40 | 0.97330 | 0.96871 | 0.94501 | 0.93078 | 0.91412 | 0.91472 | 41 | 0.83326 | 0.88258 | 0.78742 | 0.80208 | 0.68962 | 0.74806 | 42 | 0.99272 | 0.99254 | 0.99048 | 0.97140 | 0.95918 | 0.93112 | 43 | 0.95977 | 0.94853 | 0.98591 | 0.93964 | 0.60102 | 0.52690 | 44 | 0.98470 | 0.97880 | 0.97269 | 0.95566 | 0.92728 | 0.89918 | 45 | 0.94854 | 0.95723 | 0.94442 | 0.94778 | 0.94986 | 0.95918 | 46 | 0.99973 | 0.99959 | 0.99874 | 0.99286 | 0.99284 | 0.98012 | 47 | 0.99938 | 0.99902 | 0.99711 | 0.99086 | 0.99500 | 0.97770 | 48 | 0.96373 | 0.96001 | 0.94336 | 0.95596 | 0.96554 | 0.96292 | 49 | 0.99758 | 0.99742 | 0.99736 | 0.99504 | 0.99928 | 0.99722 | 50 | 0.99167 | 0.98757 | 0.97627 | 0.94522 | 0.94132 | 0.93674 | 51 | 0.98904 | 0.98974 | 0.97148 | 0.95238 | 0.92646 | 0.93746 |
| Total Wins | 49.48265ā 23 | 49.47285 14 | 49.02047 10 | 48.25168 2 | 46.53034 1 | 44.94286 1 |
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