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Keystroke dynamics for authentication using dynamic time warping
Pramana M.I.W.a, Suhardia, Kurniawan N.B.a, Sembiring J.a
a School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2017 IEEE.Stolen credential incident is rising nowadays, most of the cyber attacks have been targeting user credential which could be easily abused. The usage of behavioral biometric is predicted to be increasing in order to encounter such act by authenticating user using multi-factor authentication of both password and behavioral biometrics to stop illegitimate user attempt. Keystroke dynamics is a behavioral biometric that can be collected efficiently from user typing behavior. This research studied about keystroke dynamic authentication system using dynamic time warping, dataset is used in testing phase along with system usability questionnaire. The method results in 17.6% equal error rate and 70 points of system usability scale.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Authentication systems,Behavioral biometrics,Dynamic time warping,Equal error rate,Keystroke dynamics,Multi-factor authentication,System usability,Typing behaviors[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]authentication,behavioral biometrics,dynamic time warping,keystroke dynamics,system usability[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]Keystroke dynamics is considered as unique characteristics by a study carried by The National Science Foundation and The National Bureau of Standards of United States [6]. Authentication by using keystroke dynamics also has been deeply studied since it was firstly used to identify a person [7], [8], [9], [10]. Surveys about keystroke dynamics [11], [12] show that most used features are monograph and digraph which have the time on one key and between two keys, increasing the number of keys categorized as an N-graph feature. The other features are pressure and acoustic cues which require special hardware. Selection of feature may also affect the performance of the authentication method. The case in keystroked dynamics has been disscussed since long time. In [9] it is said that using only one feature of key hold time may outperform the other combination of feature.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/JCSSE.2017.8025915[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]