Research Article
Sequence Alignment with Dynamic Divisor Generation for Keystroke Dynamics Based User Authentication
Table 4
The result of AUC for six algorithms in Dataset number 3. The highest value of AUC result is in bold.
| Subject | Algorithm | | SADD | Sequence alignment | Median vector proximity | Mahalanobis | Manhattan | Euclidean |
| 1 | 0.91878 | 0.91561 | 0.92803 | 0.84844 | 0.82134 | 0.79844 | 2 | 0.97017 | 0.96301 | 0.97068 | 0.88018 | 0.88380 | 0.85948 | 3 | 0.98415 | 0.97933 | 0.95722 | 0.96926 | 0.90408 | 0.85802 | 4 | 0.99602 | 0.99316 | 0.99697 | 0.97216 | 0.96790 | 0.94638 | 5 | 0.98845 | 0.98843 | 0.99180 | 0.96218 | 0.95524 | 0.96498 | 6 | 0.99111 | 0.98988 | 0.99043 | 0.97972 | 0.92956 | 0.92516 | 7 | 0.99928 | 0.99884 | 0.99874 | 0.98944 | 0.99544 | 0.99210 | 8 | 0.99434 | 0.99422 | 0.99510 | 0.96762 | 0.95000 | 0.94710 | 9 | 0.99877 | 0.99693 | 0.99721 | 0.97772 | 0.95844 | 0.92222 | 10 | 0.99970 | 0.99974 | 0.99689 | 0.96102 | 0.96640 | 0.94618 | 11 | 0.98862 | 0.98864 | 0.96965 | 0.93818 | 0.87660 | 0.86392 | 12 | 0.89050 | 0.86445 | 0.84490 | 0.91010 | 0.82128 | 0.83304 | 13 | 0.99877 | 0.99702 | 0.99727 | 0.99184 | 0.97992 | 0.96996 | 14 | 0.98520 | 0.98127 | 0.97807 | 0.92130 | 0.88548 | 0.87208 | 15 | 0.99006 | 0.99071 | 0.99299 | 0.97628 | 0.94972 | 0.93500 | 16 | 0.95655 | 0.94369 | 0.94444 | 0.93130 | 0.80648 | 0.83034 | 17 | 0.96680 | 0.96742 | 0.97450 | 0.94258 | 0.95020 | 0.93990 | 18 | 0.96225 | 0.95484 | 0.98715 | 0.98998 | 0.80096 | 0.60398 | 19 | 0.95516 | 0.95233 | 0.98263 | 0.99272 | 0.90200 | 0.86606 | 20 | 0.98398 | 0.98131 | 0.97650 | 0.95914 | 0.94202 | 0.91498 | 21 | 0.97955 | 0.97219 | 0.98599 | 0.97928 | 0.95442 | 0.94144 | 22 | 0.99033 | 0.98696 | 0.99062 | 0.96448 | 0.89646 | 0.86752 | 23 | 0.99109 | 0.98497 | 0.98092 | 0.98912 | 0.94574 | 0.91436 | 24 | 0.99158 | 0.99109 | 0.99410 | 0.96422 | 0.95720 | 0.92892 | 25 | 0.87958 | 0.87253 | 0.96272 | 0.91256 | 0.93030 | 0.89172 | 26 | 0.87085 | 0.87509 | 0.88064 | 0.84346 | 0.77044 | 0.74542 | 27 | 0.92324 | 0.93092 | 0.92630 | 0.79592 | 0.84516 | 0.84584 | 28 | 0.86118 | 0.87980 | 0.88506 | 0.93832 | 0.85035 | 0.77736 | 29 | 0.97665 | 0.98056 | 0.92037 | 0.89790 | 0.80344 | 0.76698 | 30 | 0.95948 | 0.95189 | 0.95176 | 0.93106 | 0.82536 | 0.81706 | 31 | 0.98530 | 0.97686 | 0.99673 | 0.99964 | 0.97476 | 0.95788 | 32 | 0.97732 | 0.97706 | 0.95275 | 0.94178 | 0.88974 | 0.87134 | 33 | 0.97796 | 0.97639 | 0.97776 | 0.95766 | 0.93554 | 0.91100 | 34 | 0.99097 | 0.98795 | 0.98872 | 0.94522 | 0.91766 | 0.90142 | 35 | 0.86485 | 0.84880 | 0.88478 | 0.87956 | 0.73278 | 0.64826 | 36 | 0.9760 | 0.96774 | 0.97859 | 0.93214 | 0.90458 | 0.88226 | 37 | 0.99892 | 0.99692 | 0.99944 | 0.96974 | 0.98150 | 0.96516 | 38 | 0.98589 | 0.97523 | 0.99420 | 0.99290 | 0.94534 | 0.88950 | 39 | 0.97196 | 0.96555 | 0.94897 | 0.97590 | 0.91350 | 0.89376 | 40 | 0.96815 | 0.96767 | 0.96202 | 0.93078 | 0.88326 | 0.90798 | 41 | 0.91268 | 0.92235 | 0.88391 | 0.80208 | 0.72702 | 0.77560 | 42 | 0.99197 | 0.99096 | 0.99086 | 0.97140 | 0.95082 | 0.93314 | 43 | 0.89182 | 0.89006 | 0.96234 | 0.93964 | 0.54252 | 0.54492 | 44 | 0.98709 | 0.98154 | 0.98108 | 0.95566 | 0.89562 | 0.88752 | 45 | 0.97411 | 0.97339 | 0.98341 | 0.94778 | 0.94900 | 0.96054 | 46 | 0.99971 | 0.99942 | 0.99838 | 0.99286 | 0.98820 | 0.97910 | 47 | 0.99952 | 0.99957 | 0.99873 | 0.99086 | 0.98826 | 0.97440 | 48 | 0.98405 | 0.97524 | 0.98639 | 0.95596 | 0.96146 | 0.96468 | 49 | 0.99996 | 0.99994 | 0.99991 | 0.99504 | 0.99734 | 0.99464 | 50 | 0.99212 | 0.99190 | 0.98780 | 0.94522 | 0.93488 | 0.92860 | 51 | 0.98937 | 0.98596 | 0.98243 | 0.95238 | 0.92398 | 0.94170 |
| Total Wins | 49.36191 20 | 49.21733 6 | 49.38885 19 | 48.25168 6 | 45.96349 0 | 44.99934 0 |
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