Risk Estimation for a Secure & Usable User Authentication Mechanism for Mobile Passenger ID Devices

Maria Papaioannou, Georgios Mantas, Aliyah Essop, Victor Sucasas, Najwa Aaraj, Jonathan Rodriguez

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

1 Dyfyniad (Scopus)

Crynodeb

User Authentication in mobile devices acts as a first line of defense verifying the user's identity to allow access to the resources of a device and typically was based on 'something the user knows', known also as knowledge-based user authentication for several decades. However, recent studies point out that although knowledge-based user authentication has been the most popular for authenticating an individual, nowadays it is no more considered secure and convenient for the mobile user as it is imposing several limitations in terms of security and usability. These limitations stress the need for the development and implementation of more secure and usable user authentication methods. Toward this direction, user authentication based on the 'something the user is' has caught the attention. This category includes authentication methods which make use of human physical characteristics (also referred to as physiological biometrics), or involuntary actions (also referred to as behavioral biometrics). In particular, risk-based user authentication based on behavioral biometrics appears to have the potential to increase the reliability of authentication without sacrificing usability. In this context, we focus on the estimation of the risk score, in a continuous mode, of the risk-based user authentication mechanism that we have proposed in our previous work for mobile passenger identification (ID) devices for land/sea border control.

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.
Tudalennau173-178
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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