Accurate continuous and non-intrusive user authentication with multivariate keystroke streaming

Alshehri, A, Coenen, F ORCID: 0000-0003-1026-6649 and Bollegala, D ORCID: 0000-0003-4476-7003 (2017) Accurate continuous and non-intrusive user authentication with multivariate keystroke streaming In: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017-11-1 - 2017-11-3.

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Abstract

In this paper, we demonstrate a novel mechanism for continuous authentication of computer users using keystroke dynamics. The mechanism models keystroke timing features, Flight time (the time between consecutive keys) and Hold time (the duration of a key press), as a multivariate time series which serves to dynamically capture typing patterns in real/continuous time. The proposed method differs from previous approaches for continuous authentication using keystroke dynamics, founded on feature vector representations, which limited real-time analysis due to the computationally expensive processing of the vectors, and which also yielded poor authentication accuracy. The proposed mechanism is compared to a feature vector based approach, taken from the literature, over two datasets. The results indicate superior performance of the proposed multivariate time series mechanisms for continuous authentication using keystroke dynamics.

Item Type:	Conference Item (Unspecified)
Depositing User:	Symplectic Admin
Date Deposited:	08 Aug 2017 15:13
Last Modified:	23 May 2026 01:01
DOI:	10.5220/0006497200610070
Related Websites:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3008867
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