TY - GEN
T1 - IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C)
AU - Stragapede, Giuseppe
AU - Vera-Rodriguez, Ruben
AU - Tolosana, Ruben
AU - Morales, Aythami
AU - Fierrez, Julian
AU - Ortega-Garcia, Javier
AU - Rasnayaka, Sanka
AU - Seneviratne, Sachith
AU - Dissanayake, Vipula
AU - Liebers, Jonathan
AU - Islam, Ashhadul
AU - Belhaouari, Samir Brahim
AU - Ahmad, Sumaiya
AU - Jabin, Suraiya
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper describes the experimental framework and results of the IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C). The aim of MobileB2C is bench-marking mobile user authentication systems based on behavioral biometric traits transparently acquired by mobile devices during ordinary Human-Computer Interaction (HCI), using a novel public database, BehavePassDB11https://github.com/BiDAlab/MobileB2C_BehavePassDE, and a standard experimental protocol. The competition is divided into four tasks corresponding to typical user activities: keystroke, text reading, gallery swiping, and tapping. The data are composed of touchscreen data and several background sensor data simultaneously acquired. 'Random' (different users with different devices) and 'skilled' (different user on the same device attempting to imitate the legitimate one) impostor scenarios are considered. The results achieved by the participants show the feasibility of user authentication through behavioral biometrics, although this proves to be a non-trivial challenge. MobileB2C will be established as an on-going competition22https://sites.google.com/view/mobileb2c/.
AB - This paper describes the experimental framework and results of the IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C). The aim of MobileB2C is bench-marking mobile user authentication systems based on behavioral biometric traits transparently acquired by mobile devices during ordinary Human-Computer Interaction (HCI), using a novel public database, BehavePassDB11https://github.com/BiDAlab/MobileB2C_BehavePassDE, and a standard experimental protocol. The competition is divided into four tasks corresponding to typical user activities: keystroke, text reading, gallery swiping, and tapping. The data are composed of touchscreen data and several background sensor data simultaneously acquired. 'Random' (different users with different devices) and 'skilled' (different user on the same device attempting to imitate the legitimate one) impostor scenarios are considered. The results achieved by the participants show the feasibility of user authentication through behavioral biometrics, although this proves to be a non-trivial challenge. MobileB2C will be established as an on-going competition22https://sites.google.com/view/mobileb2c/.
UR - http://www.scopus.com/inward/record.url?scp=85147256912&partnerID=8YFLogxK
U2 - 10.1109/IJCB54206.2022.10007985
DO - 10.1109/IJCB54206.2022.10007985
M3 - Conference contribution
AN - SCOPUS:85147256912
T3 - 2022 IEEE International Joint Conference on Biometrics, IJCB 2022
BT - 2022 IEEE International Joint Conference on Biometrics, IJCB 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Joint Conference on Biometrics, IJCB 2022
Y2 - 10 October 2022 through 13 October 2022
ER -