IoT Security Approaches in Social Robots for Ambient Assisted Living Scenarios

Abstract

Nowadays, the complexity, heterogeneity and dynamic behaviour of emerging IoT deployments poses tremendous security challenges. The main limitations include limited end-to-end security support, lack of cross-platform cross-vertical security interoperability and inability to deal with very volatile and dynamic smart object environments. Overall these require more dynamic, scalable, decentralized and intelligent IoT security mechanisms which are addressed by the SecureIoT project. This paper presents the development of a SecureIoT-enabled socially assisted robots (SAR) usage scenario, also called Ambient Assisted Living Scenario (AAL). The aim of the SAR usage scenario is to integrate and validate the SecureIoT services in the scope of personalized healthcare and ambient assistive living scenarios, involving the secure integration of QTrobot (QT) of LuxAI and the CloudCare2U platform (CC2U) of iSPRINT. 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.