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/

Zendy Plus

Presents the zaia usage as premium feature

ZAIA

Presents the pdf analysis as premium feature

PDF Analysis

Insights

Presents the summarisation as premium feature

Summarisation

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the access of premium content as premium feature

Premium Content

Zendy Tools

Zendy Open

The authentication field is evolving towards mechanisms able to keep userscontinuously authenticated without the necessity of remembering or possessingauthentication credentials. While existing continuous authentication systemshave demonstrated their suitability for single-device scenarios, the Internetof Things and next generation of mobile networks (5G) are enabling novelmulti-device scenarios -- such as Smart Offices -- where continuousauthentication is still an open challenge. The paper at hand, proposes anAI-based, privacy-preserving and multi-device continuous authenticationarchitecture called AuthCODE. A realistic Smart Office scenario with severalusers, interacting with their mobile devices and personal computer, has beenused to create a set of single- and multi-device behavioural datasets andvalidate AuthCODE. A pool of experiments with machine and deep learningclassifiers measured the impact of time in authentication accuracy and improvedthe results of single-device approaches by considering multi-device behaviourprofiles. The f1-score average reached for XGBoost on multi-device profilesbased on 1-minute windows was 99.33%, while the best performance achieved forsingle devices was lower than 97.39%. The inclusion of temporal information inthe form of vector sequences classified by a Long-Short Term Memory Network,allowed the identification of additional complex behaviour patterns associatedto each user, resulting in an average f1-score of 99.02% on identification oflong-term behaviours.

AuthCODE: A Privacy-preserving and Multi-device Continuous Authentication Architecture based on Machine and Deep Learning