Real Time Analytics for Characterizing the Computer User's State

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ISSN online: 2255-2863

Prefijo Doi: 10.14201

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Davide Carneiro
Algoritmi Center/Department of Informatics, Minho University, Braga, Portugal
Portugal
Daniel Araújo
Algoritmi Center/Department of Informatics, Minho University, Braga, Portugal
Portugal
André Pimenta
Algoritmi Center/Department of Informatics, Minho University, Braga, Portugal
Portugal
Paulo Novais
Algoritmi Center/Department of Informatics, Minho University, Braga, Portugal
Portugal
Vol. 5 No. 4 (2016), Articles, pages 01-18
DOI: https://doi.org/10.14201/ADCAIJ201654118
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Abstract

In the last years, the amount of devices that can be connected to a network grew significantly allowing to, among other tasks, collect data about the environment or the people in it in a non-intrusive way. This generated nowadays well-known topics such as Big Data or the Internet of Things. This also opened the door to the development of novel and interesting applications. In this paper we propose a distributed system for acquiring data about the users of technological devices in a non-intrusive way. We describe how this data can be collected and transformed to produce meaningful interaction features, that reveal the state of the individuals. We analyse the requirements of such a system, namely in terms of storage and speed, and describe three prototypes currently being used in three different domains of application.

Keywords:

Big Data, Distributed Computing, Behavioural Analysis, Keystroke Dynamics, Mouse Dynamics

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