Real Time Analytics for Characterizing the Computer User's State

• Main Authors: Davide CARNEIRO, Daniel ARAÚJO, André PIMENTA, Paulo NOVAIS
• Format: Article
• Language: English
• Published: Ediciones Universidad de Salamanca 2016-12-01
• Series: Advances in Distributed Computing and Artificial Intelligence Journal
• Subjects: big data; distributed computing; behavioural analysis; keystroke dynamics; mouse dynamics
• Online Access: https://revistas.usal.es/index.php/2255-2863/article/view/15167

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 <span>analyse</span> 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.