Although emerging IoT paradigms in sleep tracking have a substantial contribution to enhancing current healthcare systems, there are several privacy and security considerations that end-users need to consider. End-users can be susceptible to malicious threats when they allow permission to potentially vulnerable or leaky third-party apps. Since the data is migrated to the cloud, it goes over insecure communication channels, all of which have their security concerns. Moreover, there are alternative data violation concerns when the data projects into the proprietor's cloud storage facility. In this study, we present some of the existing IoT sleep trackers, also we discuss the most common features associated with these sleep trackers. As the majority of end-users are not aware of the privacy and security concerns affiliated with emerging IoT sleep trackers. We review existing solutions that can apply to IoT sleep tracker architecture. Also, we describe a deployed IoT platform that can address these concerns. Finally, we provide some of the recommendations to end-users and service providers to ensure a safer approach while leveraging the IoT sleep tracker in caregiving. This incorporates recommendations for software updates, awareness programs, software installation, and social engineering.

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The fast growth of the IoT and the unlimited possibilities in terms of applications and processing brought forth by the 5G which is around the corner is making IoT an active part of the activity of daily living. Those massive architectures become then the target of security issues, broken services, broken hardware or malfunctioning of applications. Moreover, in a system of million connected devices, operating each one of them is impossible making the platform unmaintainable. In this study, we present our attempt to achieve the autonomy of IoT infrastructure and we present some of the existing and recurrent issues undermining the IoT architecture. Then we review existing self-healing techniques that enable a system to be autonomous and solve issues. We also described our IoT platform that targets the self-healing concern. Finally, we point out some recommendations to make an overall reliable, resilient IoT system with cognitive entities for self-management.