NDLI: Intrusion detection using mouse dynamics

Content Provider	IET Digital Library
Author	Antal, Margit Zsigmond, Elöd Egyed
Abstract	Compared to other behavioural biometrics, mouse dynamics is a less explored area. General purpose data sets containing unrestricted mouse usage data are usually not available. The Balabit data set was released in 2016 for a data science competition which, despite the few users covered, can be considered the first adequate publicly available data set. This study presents a performance evaluation study on this data set for impostor detection. The existence of very short benchmark test sessions makes this data set challenging. Raw data were segmented into mouse actions, such as mouse move, point and click, and drag and drop, and then several features were extracted. Mouse data is not sensitive; therefore, it is possible to collect negative mouse dynamics data and to use two-class classifiers. Impostor detection performance was measured using decisions based on several actions. The best performance of 0.92 area under curve was obtained on the benchmark test sessions of the data set. Drag and drop mouse actions proved to be the best actions for impostor detection despite the fact that this type of action represented only 10% of the data set.
Starting Page	285
Ending Page	294
Page Count	10
ISSN	20474938
Volume Number	8
e-ISSN	20474946
Issue Number	Issue 5, Sep (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/8/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2018.5126
Journal	IET Biometrics
Publisher Date	2019-02-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adequate Publicly Available Data Balabit Data Set Biology And Medical Computing Biomimetics Computer Vision And Image Processing Technique Data Analysis Data Science Competition Data Security Feature Extraction General Purpose Data Sets Impostor Detection Performance Knowledge Engineering Technique Mouse Actions Mouse Controller (computers) Mouse Data Mouse Move Negative Mouse Dynamics Data Pattern Classification Pattern Recognition Performance Evaluation Raw Data Security of Data Unrestricted Mouse Usage Data
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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