IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C)

TL;DR

The paper presents the MobileB2C competition framework for benchmarking mobile user authentication using behavioral biometrics, introducing a new dataset and protocol across various user activities, with promising but challenging results.

Contribution

It introduces a novel public dataset and standardized protocol for benchmarking mobile behavioral biometric authentication in a competitive setting.

Findings

Feasibility of user authentication via behavioral biometrics demonstrated.

Different user scenarios, including impostor types, tested for robustness.

Results indicate behavioral biometrics are promising but still challenging for reliable authentication.

Abstract

This paper describes the experimental framework and results of the IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C). The aim of MobileB2C is benchmarking 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, BehavePassDB, 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 competition.