CATEGORY: sensors, systems, AI for healthcare
Enabling Security Services in Socially Assistive Robot Scenarios for Healthcare Applications
1 Telecommunications Department, University Politehnica of Bucharest, 061071 Bucharest, Romania 2 Innovation Sprint Sprl, 1200 Brussels, Belgium 3 BTECH, Aarhus University, 7400 Herning, Denmark 4 LuxAI S.A., 1724 Luxembourg, Luxembourg * Author to whom correspondence should be addressed.
Today’s IoT deployments are highly complex, heterogeneous and constantly changing. This poses severe security challenges such as limited end-to-end security support, lack of cross-platform cross-vertical security interoperability as well as the lack of security services that can be readily applied by security practitioners and third-party developers. Overall, these require scalable, decentralized and intelligent IoT security mechanisms and services which are addressed by the SecureIoT project. This paper presents the definition, implementation and validation of a SecureIoT-enabled socially assisted robots (SAR) usage scenario. The aim of the SAR scenario is to integrate and validate the SecureIoT services in the scope of personalized healthcare and ambient assistive living (AAL) scenarios, involving the integration of two AAL platforms, namely QTrobot (QT) and CloudCare2U (CC2U). This includes risk assessment of communications security, predictive analysis of security risks, implementing access control policies to enhance the security of solution, and auditing of the solution against security, safety and privacy guidelines and regulations. Future perspectives include the extension of this security paradigm by securing the integration of healthcare platforms with IoT solutions, such as Healthentia with QTRobot, by means of a system product assurance process for cyber-security in healthcare applications, through the PANACEA toolkit.
Keywords: Internet of Things; socially assistive robots; ambient assisted living; security; process mining