TY  - EJOU
AU  - Kang, Shin Jin 
AU  - Kim, Soo Kyun 

TI  - User Interface-Based Repeated Sequence Detection Method for Authentication
T2  - Intelligent Automation \& Soft Computing

PY  - 2023
VL  - 35
IS  - 3
SN  - 2326-005X

AB  - In this paper, we propose an authentication method that use mouse and keystroke dynamics to enhance online privacy and security. The proposed method identifies personalized repeated user interface (UI) sequences by analyzing mouse and keyboard data. To this end, an Apriori algorithm based on the keystroke-level model (KLM) of the human–computer interface domain was used. The proposed system can detect repeated UI sequences based on KLM for authentication in the software. The effectiveness of the proposed method is verified through access testing using commercial applications that require intensive UI interactions. The results show using our cognitive mouse-and-keystroke dynamics system can complement authentication at the application level.
KW  - Authentication; keystroke-level model (KLM); keystroke; mouse dynamics

DO  - 10.32604/iasc.2023.029893