Enabling Security Services in Socially Assistive Robot Scenarios for Healthcare Applications.

Alexandru Vulpe,Ali Paikan,Ana-Maria Drăgulinescu,Răzvan Crăciunescu,Sofoklis Kyriazakos,Pouyan Ziafati

doi:10.3390/s21206912

Alexandru Vulpe, Ali Paikan + Show 4 more

Open Access

https://doi.org/10.3390/s21206912

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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.

Highlights

In recent years, there has been a host of notorious security incidents across the world.These range from smart security cameras to connected fax machines and printers [3] and even smart light bulbs [4]
Healthcare and ambient assisted living platforms can be significantly enriched based on smart objects, such as wearables, socially assistive robots as well as cloud and IoT-based software and hardware platforms, which leads to numerous security issues
QTrobot is connected to Internet through a standard WiFi interface and the network overhead observed does not pose any issue for our use case

Summary

Introduction

There has been a host of notorious security incidents across the world.These range from smart security cameras (such as Amazon’s Ring Video Doorbell Pro [1]or Blink XT2 security camera systems [2]) to connected fax machines and printers [3] and even smart light bulbs [4]. Recent examples include botnets of infected routers and network storage devices [6], the first large scale distributed denial of service (DDoS) attack based on IoT devices [7] as well as vulnerable healthcare devices such as connected pacemakers [8] which, despite reported flaws, have not yet been remediated. These incidents have highlighted the vulnerability of the emerging IoT ecosystem, while at the same time have indicated the high socio-economic importance of IoT security. Healthcare and ambient assisted living platforms can be significantly enriched based on smart objects, such as wearables, socially assistive robots as well as cloud and IoT-based software and hardware platforms, which leads to numerous security issues

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