Description du projet
Protéger les établissements de santé contre les cyberattaques
La cybersécurité constitue un défi pour le secteur de la santé, qui fournit des services essentiels tout en utilisant une quantité importante de données personnelles sensibles. Un établissement de santé moyen dépense plus d’un million d’euros pour se remettre d’une attaque. La multiplication des failles de cybersécurité dans les établissements de santé compromet la vie privée des patients et constitue une menace pour leur sécurité. Les dispositifs médicaux sans fil utilisés peuvent, par exemple, être piratés par des cybercriminels dans le but de nuire à un patient. Le projet ProTego, financé par l’UE, entend développer une boîte à outils destinée aux établissements de santé dans le but de mieux évaluer et de réduire les problèmes de cybersécurité liés à l’accès à distance des dispositifs aux données des dossiers médicaux électroniques. Il introduira trois grandes avancées par rapport aux approches actuelles: un recours massif à l’intelligence artificielle, des mesures avancées pour la protection des données et des protocoles d’innovation pour former les parties prenantes.
Objectif
Health care is an essential service that uses a great deal of sensitive personal data which has a high black market value being a lucrative target for data theft and ransomware attacks.The EU NIS Directive (EU 2016/1148) and GDPR (EU 2016/679) will harmonize and improve information security in Europe. Both require relevant ICT infrastructure operators to perform risk assessments, introduce appropriate security measures to manage identified risks, and report security breaches. Unfortunately, risk-based approaches are notoriously difficult to implement in a consistent and comprehensive fashion. They depend on a high level of understanding of both cybersecurity and of the system or network to be protected, are labour intensive and costly and typically done by small teams. This is increasingly inappropriate as health care providers introduce IoT systems, cloud services and (in the near future) 5G networks to provide services in which patients are more engaged, may own some of the devices used, and want access in hospitals, on the move or at home. The ProTego project will develop a toolkit and guidelines to help health care systems users address cybersecurity risks in this new environment by introducing 3 main advances over current approaches: Extensive use of machine intelligence: a combination of machine inference exploiting a priory knowledge for security-by-design, and machine learning from data for run-time threat detection and diagnosis; Advanced data protection measures: advanced encryption techniques and hardware based full memory encryption, and multi-stakeholder IAM to control access to and by user devices, to protect data at rest and provide ultra-secure data exchange portals; Innovative protocols for stakeholder education: using security-by-design analysis to target training and support stakeholders to contribute to networok overall security.The toolkit will be integrated and validated in IoT and BYOD-based case studies at two hospitals.
Champ scientifique
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network5G
- natural sciencescomputer and information sciencesinternetinternet of things
- natural sciencescomputer and information sciencescomputer securitydata protection
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencescomputer and information sciencesdata sciencedata exchange
Programme(s)
Régime de financement
RIA - Research and Innovation actionCoordinateur
28050 Madrid
Espagne