Sensing Your Touch: Strengthen User Authentication via Touch Dynamic Biometrics


Teh, Pin Shen and Zhang, Ning and Tan, Syh Yuan and Shi, Qi and Nawaz, Raheel and Khoh, Wee How (2019) Sensing Your Touch: Strengthen User Authentication via Touch Dynamic Biometrics. In: 2019 International Conference on Information and Communication Technology Convergence (ICTC) - ICTC2019, 16-18 Oct 2019, Ramada Plaza, Jeju Island, South Korea.

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Mobile devices are increasingly used to store private and sensitive data, and this has led to an increased demand for more secure and usable authentication services. Currently, mobile device authentication services mainly use a knowledge-based method, e.g. a PIN-based authentication method, and, in some cases, a fingerprint-based authentication method is also supported. The knowledge-based method is vulnerable to impersonation attacks, while the fingerprint based method can be unreliable sometimes. To make the authentication service more secure and reliable for mobile device users, this paper describes our efforts in investigating the benefits of integrating a touch dynamics authentication method into a PIN-based authentication method. It describes the design, implementation and evaluation of this method. Experimental results show that this approach can significantly reduce the success rate of impersonation attempts; in the case of a 4-digit PIN, the success rate is reduced from 100% (if only the PIN is used) to 9.9% (if both the PIN and the touch dynamics are used).

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Authentication, biometrics, touch dynamics, machine learning, mobile device security
Subjects: Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 07 Feb 2022 05:12
Last Modified: 07 Feb 2022 05:12


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