Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/50736
Título: | Real time analytics for characterizing the computer user's state |
Autor(es): | Carneiro, Davide Araujo, Daniel Pimenta, Andre Novais, Paulo |
Palavras-chave: | Big Data Distributed Computing Behavioural Analysis Keystroke Dynamics Mouse Dynamics |
Data: | 1-Jan-2016 |
Editora: | Ediciones Universidad de Salamanca |
Revista: | ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal |
Resumo(s): | 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/50736 |
ISSN: | 2255-2863 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
adcaij-Paper.pdf | 998,31 kB | Adobe PDF | Ver/Abrir |