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Securing Smart Offices Through an Intelligent and Multi-device Continuous Authentication System

  • Pedro Miguel Sánchez SánchezEmail author
  • Alberto Huertas Celdrán
  • Lorenzo Fernández Maimó
  • Gregorio Martínez Pérez
  • Guojun Wang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1122)

Abstract

Smart Offices promise the improvement of working conditions in terms of efficiency, productivity and facility. However, new cybersecurity challenges arise associated with the new capabilities of Smart Cities. One of the key challenges is the utilisation of continuous and non-invasive authentication mechanisms since traditional authentication methods have important limitations. Thus, to cover these limitations, the main contribution of this paper is the design and deployment of a continuous and intelligent authentication architecture oriented to Smart Offices. The architecture is oriented to the cloud computing paradigm and considers Machine Learning techniques to authenticate users according to their behaviours. Some experiments demonstrated the suitability of the proposed solution when recognising and authenticating different users using a classification algorithm.

Keywords

Smart office IoT devices Continuous authentication Behaviour patterns Machine learning Classification 

Notes

Acknowledgment

This work has been partially supported by the Irish Research Council, under the government of Ireland post-doc fellowship (grant code GOIPD/2018/466). Special thanks to all those voluntaries who installed the client applications: Oscar Fernández, Pedro A. Sánchez, Francisco J. Sánchez, Pantaleone Nespoli, Mattia Zago, Sergio López, Manuel Gil, José M. Jorquera and Gregorio Martínez.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Information and Communications EngineeringUniversity of MurciaMurciaSpain
  2. 2.Telecommunication Software and Systems GroupWaterford Institute of TechnologyWaterfordIreland
  3. 3.Department of Computer EngineeringUniversity of MurciaMurciaSpain
  4. 4.School of Computer ScienceGuangzhou UniversityGuangzhouChina

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