Abstract:
Modern IoT deployments are intricate, diverse, and ever-evolving, presenting significant security challenges. These include limited end-to-end security support, a lack of cross-platform and cross-vertical security interoperability, and an absence of ready-to-use security services for practitioners and third-party developers. Addressing these issues necessitates scalable, decentralized, and intelligent IoT security mechanisms, which the SecureIoT project aims to provide.
This paper outlines the definition, implementation, and validation of a SecureIoT-enabled scenario involving socially assisted robots (SAR). The goal of this scenario is to integrate and validate SecureIoT services within personalized healthcare and ambient assisted living (AAL) contexts. Specifically, the integration involves two AAL platforms: QTrobot (QT) and CloudCare2U (CC2U). Key aspects of this integration include:
- Risk Assessment: Evaluating the security risks associated with communications.
- Predictive Analysis: Anticipating potential security risks.
- Access Control: Implementing policies to enhance solution security.
- Auditing: Ensuring compliance with security, safety, and privacy guidelines and regulations.
Looking ahead, the project plans to extend this security paradigm by securing the integration of healthcare platforms with IoT solutions. An example is the integration of Healthentia with QTrobot, utilizing the PANACEA toolkit to ensure cybersecurity in healthcare applications through a comprehensive system product assurance process.
Reference:
Vulpe, A.; Crăciunescu, R.; Drăgulinescu, A.-M.; Kyriazakos, S.; Paikan, A.; Ziafati, P. Enabling Security Services in Socially Assistive Robot Scenarios for Healthcare Applications. Sensors 2021, 21, 6912. https://doi.org/10.3390/s21206912