Generating Datasets Based on the HuMIdb Dataset for Risk-based User Authentication on Smartphones

Maria Papaioannou, Georgios Zachos, Georgios Mantas, Aliyah Essop, Abdulkareem Karasuwa, Jonathan Rodriguez

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddCyfraniad i gynhadleddadolygiad gan gymheiriaid

Crynodeb

User authentication acts as the first line of defense verifying the identity of a mobile user, often as a prerequisite to allow access to resources in a mobile device. Risk-based user authentication based on behavioral biometrics appears to have the potential to increase mobile authentication security without sacrificing usability. Nevertheless, in order to precisely evaluate classification and/or novelty detection algorithms for risk-based user authentication, it is of utmost importance to make use of quality datasets to train and test these algorithms. To the best of our knowledge, there is a lack of up-to-date, representative and comprehensive datasets that are publicly available to the research community for effective training and evaluation of classification and/or novelty detection algorithms suitable for risk-based user authentication. Toward this direction, in this paper, the aim is to provide details on how we generate datasets based on HuMIdb dataset for training and testing classification and novelty detection algorithms for risk-based adaptive user authentication. The HuMIdb dataset is the most recent and publicly available dataset for behavioral user authentication.

Iaith wreiddiolSaesneg
Teitl2022 IEEE 27th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2022
CyhoeddwrInstitute of Electrical and Electronics Engineers Inc.
Tudalennau134-139
Nifer y tudalennau6
ISBN (Electronig)9781665461290
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 8 Rhag 2022
Digwyddiad27th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2022 - Paris, Ffrainc
Hyd: 2 Tach 20223 Tach 2022

Cyfres gyhoeddiadau

EnwIEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
Cyfrol2022-November
ISSN (Electronig)2378-4873

Cynhadledd

Cynhadledd27th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2022
Gwlad/TiriogaethFfrainc
DinasParis
Cyfnod2/11/223/11/22

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