Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming



Alshehri, Abdullah ORCID: 0000-0003-0008-9394, Coenen, Frans ORCID: 0000-0003-1026-6649 and Bollegala, Danushka ORCID: 0000-0003-4476-7003
(2017) Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming. In: 9th International Conference on Knowledge Discovery and Information Retrieval, 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 or Workshop Item (Unspecified)
Depositing User: Symplectic Admin
Date Deposited: 08 Aug 2017 15:13
Last Modified: 19 Jan 2023 06:58
DOI: 10.5220/0006497200610070
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3008867