Spectral Analysis of Keystroke Streams: Towards Effective Real-time Continuous User Authentication

Alshehri, Abdullah ORCID: 0000-0003-0008-9394, Coenen, Frans ORCID: 0000-0003-1026-6649 and Bollegala, Danushka ORCID: 0000-0003-4476-7003 (2018) Spectral Analysis of Keystroke Streams: Towards Effective Real-time Continuous User Authentication. In: 4th International Conference on Information Systems Security and Privacy, 2018-1-22 - 2018-1-24.

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Abstract

Continuous authentication using keystroke dynamics is significant for applications where continuous monitoring of a user’s identity is desirable, for example in the context of the online assessments and examinations frequently encountered in eLearning environments. In this paper, a novel approach to realtime keystroke continuous authentication is proposed that is founded on a sinusoidal signal based approach that takes into consideration the sequencing of keystrokes. Three alternative time series representations are considered and compared: Keystroke Time Series (KTS), Discrete Fourier Transform (DFT) and Discrete Wavelet Transform (DWT). The proposed process is fully described and analysed using three keystroke dynamics datasets. The evaluation also includes a comparison with the established Feature Vector Representation (FVR) approach. The reported evaluation demonstrates that the proposed method, coupled with the DWT representation, outperforms other approaches to keystroke continuous authentication with a best overall accuracy of 98.24%; a clear indicator that the proposed keystroke continuous authentication using time series analysis has significant potential.

Item Type:	Conference or Workshop Item (Unspecified)
Uncontrolled Keywords:	Keystroke Time Series, Continuous Authentication, Keystroke Streams, Behavioral Biometric
Depositing User:	Symplectic Admin
Date Deposited:	08 Jun 2018 11:48
Last Modified:	19 Jan 2023 01:32
DOI:	10.5220/0006606100620073
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3022339