Enabling Security Services in Socially Assistive Robot Scenarios for Healthcare Applications

Abstract

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.

Internet of Medical Things Security Frameworks for Risk Assessment and Management: A Scoping Review

“…The aim of this work 32 is to integrate SecureIoT services in socially assisted robots usage scenarios for healthcare applications. It involves using two platforms: QTrobot for social interaction and teaching applications and CloudCare2U.…”

“…Since it concerns the use of information technology in healthcare, which is one of the key sectors, further research is needed to cover this area. Most of the studies mentioned above point out the specificities of the IoMT, such as the heterogeneity of devices, 16,28,35,37,57 the rapid development and proliferation of new devices, 28,35,36,45,56 the large amount of sensitive data exchanged wirelessly, [34][35][36]56 the layered architecture 15,28,29,31,32,45,56,57 and the multitude of users who often lack security awareness. 23,24,27 It is important to note that this review focused only on finding and describing thematically relevant work and then answering the research questions.…”

Mindbot: Design and Implementation of a Mind-Controlled Educational Robot Toy for Disabled Children

“…While QTrobot has great potential, it is important to note that, like other cloudconnected devices, it might have privacy risks (S. J. Khalid and Ali 2022;Vulpe et al 2021). Moradi 2017) Bee-Bot-Bee: is a fun and educational robot that can be used to teach kids coding.…”

“…This robot serves as a real-life social worker in various situations, like helping children with autism in their rehabilitation and care. While QTrobot has great potential, it is important to note that, like other cloudconnected devices, it might have privacy risks (S. J Khalid and Ali 2022;Vulpe et al 2021…”

The Cybersecurity and the Care Robots: A Viewpoint on the Open Problems and the Perspectives

“…The same authors highlighted models and types of cyber-attacks on the CRs. Recent studies dealt with the security with SRs [ 22 ]. This included: 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.…”