English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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.

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