SECREDAS
17021
From 2018 to 2021
The SECREDAS project investigated the security, reliability, and privacy of automated systems in various sectors, such as the automotive, railway, and healthcare industries. TML conducted analyses concening the human factor, with an emphasis on user acceptance of methodologies and technologies.
The potential of fully automated vehicles and robotic devices as used within healthcare is huge. However, the safety, security, and privacy of connected and automated systems within various application domains are still a concern among many European consumers.
This large-scale project looked at the security, reliability, and privacy of automated systems across different application domains, for example in the automotive, railway, and personal healthcare domain. SECREDAS worked out a reference architecture for reliable and well-secured automated systems, in line with the new GDPR legislation. To this end, 69 partners from 16 different European countries were united in a consortium.
Within this consortium, Transport & Mobility Leuven ensured the integration of relevant know-how, questions, and analyses related to the human factor. In doing so, the focus was on user acceptance of certain methodologies, models, and technologies within certain application domains.
The potential of fully automated vehicles and robotic devices as used within healthcare is huge. However, the safety, security, and privacy of connected and automated systems within various application domains are still a concern among many European consumers.
This large-scale project looked at the security, reliability, and privacy of automated systems across different application domains, for example in the automotive, railway, and personal healthcare domain. SECREDAS worked out a reference architecture for reliable and well-secured automated systems, in line with the new GDPR legislation. To this end, 69 partners from 16 different European countries were united in a consortium.
Within this consortium, Transport & Mobility Leuven ensured the integration of relevant know-how, questions, and analyses related to the human factor. In doing so, the focus was on user acceptance of certain methodologies, models, and technologies within certain application domains.
