{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/intrusion-detection-using-mouse-dynamics","title":"Intrusion Detection Using Mouse Dynamics","arxiv_id":"1810.04668","date":"2018-10-10","proceeding":null,"authors":["Margit Antal","Elod Egyed-Zsigmond"],"abstract":"Compared to other behavioural biometrics, mouse dynamics is a less explored\narea. General purpose data sets containing unrestricted mouse usage data are\nusually not available. The Balabit data set was released in 2016 for a data\nscience competition, which against the few subjects, can be considered the\nfirst adequate publicly available one. This paper presents a performance\nevaluation study on this data set for impostor detection. The existence of very\nshort test sessions makes this data set challenging. Raw data were segmented\ninto mouse move, point and click and drag and drop types of mouse actions, then\nseveral features were extracted. In contrast to keystroke dynamics, mouse data\nis not sensitive, therefore it is possible to collect negative mouse dynamics\ndata and to use two-class classifiers for impostor detection. Both action- and\nset of actions-based evaluations were performed. Set of actions-based\nevaluation achieves 0.92 AUC on the test part of the data set. However, the\nsame type of evaluation conducted on the training part of the data set resulted\nin maximal AUC (1) using only 13 actions. Drag and drop mouse actions proved to\nbe the best actions for impostor detection.","url_abs":"http://arxiv.org/abs/1810.04668v1","url_pdf":"http://arxiv.org/pdf/1810.04668v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"intrusion-detection-using-mouse-dynamics","repo_url":"https://github.com/margitantal68/mouse_dynamics_balabit_chaoshen_dfl","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"intrusion-detection","task_name":"Intrusion Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}