TY - JOUR
T1 - Novel impostors detection in keystroke dynamics by support vector machine
AU - Sang, Yingpeng
AU - Shen, Hong
AU - Fan, Pingzhi
PY - 2004
Y1 - 2004
N2 - To detect the novel impostors whose data patterns have never been learned previously in keystroke dynamics, two solutions are proposed in this paper. Unlike most other research in keystroke dynamics, this paper surveys the performance tradeoff and time consumption, which are valuable for practical implementation, of the solutions. Besides, it is our intention to attempt verifying computer users' identities based on pure numeric password which is more difficult than verification of any other kinds of passwords.
AB - To detect the novel impostors whose data patterns have never been learned previously in keystroke dynamics, two solutions are proposed in this paper. Unlike most other research in keystroke dynamics, this paper surveys the performance tradeoff and time consumption, which are valuable for practical implementation, of the solutions. Besides, it is our intention to attempt verifying computer users' identities based on pure numeric password which is more difficult than verification of any other kinds of passwords.
UR - http://www.scopus.com/inward/record.url?scp=13944263252&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-30501-9_128
DO - 10.1007/978-3-540-30501-9_128
M3 - Conference article
AN - SCOPUS:13944263252
SN - 0302-9743
VL - 3320
SP - 666
EP - 669
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
T2 - 5th International Conference, PDCAT 2004
Y2 - 8 December 2004 through 10 December 2004
ER -