Memorias de investigación
Communications at congresses:
Detecting malicious components in large-scale Internet-of-Things systems and architectures
Year:2017

Research Areas
  • Engineering

Information
Abstract
Current large-scale Internet-of-Things systems and architectures incorporate many components, such as devices or services, geographic and conceptually very sparse. Thus, for final applications, it is very complicated to deeply know, manage or control the underlying components, which, at the end, generate and process the data they employ. Therefore, new tools to avoid or remove malicious components based only on the available information at high level are required. In this paper we describe a statistical framework for knowledge discovery in order to estimate the uncertainty level associated with the received data by a certain application. Moreover, these results are used as input in a reputation model focused on locating the malicious components. Finally, an experimental validation is provided in order to evaluate the performance of the proposed solution.
International
Si
Congress
5th World Conference on Information Systems and Technologies
960
Place
Porto Santo
Reviewers
Si
ISBN/ISSN
978-3-319-56534-7
10.1007/978-3-319-56535-4_16
Start Date
11/04/2017
End Date
13/04/2017
From page
155
To page
165
Recent Advances in Information Systems and Technologies
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Ingeniería de Redes y Servicios Avanzados de Telecomunicación
  • Departamento: Ingeniería Topográfica y Cartografía
  • Departamento: Ingeniería de Sistemas Telemáticos