Data protection by design for cybersecurity systems in a smart home environment

Olga Gkotsopoulou, Elisavet Charalambous, Konstantinos Limniotis, Paul Quinn, Dimitris Kavallieros, Gohar Sargsyan, Stavros Shiaeles, Nicholas Kolokotronis

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The present paper deals with the elucidation and implementation of the Data Protection by Design (DPbD) principle as recently introduced in the European Union data protection law, specifically with regards to cybersecurity systems in a Smart Home environment, both from a legal and a technical perspective. Starting point constitutes the research conducted in the Cyber-Trust project, which endeavours the development of an innovative and customisable cybersecurity platform for cyber-Threat intelligence gathering, detection and mitigation within the Internet of Things ecosystem. During the course of the paper, the requirements of DPbD with regards to the conceptualisation, design and actual development of the system are introduced as prescribed in law. These requirements are then translated into technical solutions, as envisaged in the Cyber-Trust system. For trade-offs are not foreign to the DPbD context, technical limitations and legal challenges are also discussed in this interdisciplinary dialogue.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE Conference on Network Softwarization (NetSoft)
EditorsChristian Jacquenet, Filip De Turck, Prosper Chemouil, Flavio Esposito, Olivier Festor, Walter Cerroni, Stefano Secci
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages9
ISBN (Electronic)978-1-5386-9376-6
ISBN (Print)978-1-5386-9377-3
Publication statusPublished - 22 Aug 2019
Event5th IEEE Conference on Network Softwarization - Paris, France
Duration: 24 Jun 201928 Jun 2019


Conference5th IEEE Conference on Network Softwarization
Abbreviated titleNetSoft 2019


  • cybersecurity
  • cyberthreat intelligence
  • data protection by design
  • Internet of Things
  • noissn


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