LAUSR

In the reliability and security challenges for the Internet of Things (IoT) systems, managing unpredictable events and controlling the abnormal situation automatically are provisioned by the integration of self-healing properties. Despite this, in our knowledge, this integration is not used to repair from malicious behaviors and potential distributed denial of service (DDoS) device attacks, especially in a collaborative way to maximize the quality of service parameters (availability). For that, we propose a diagnosable distributed protocol, in a hybrid-IoT system designed based on Service-Oriented Architecture (SOA) for IoT middleware in the things-oriented vision. The proposed protocol identifies and re-locates the denied service using the contextual recovery or the Sensing as a Service model ( $$S^2$$ aaS) in the Cloud-IoT platform, as a backup to ensure the service availability. On the basis of this idea, this paper defines the system states under self-healing (in collaboration state) and self-protection autonomic-control loops. Besides, the closure (safety) and the convergence (liveness) properties will be defined and proved satisfied by the proposed protocol. Furthermore, to highlight the interest of the protocol, we present an application in the context of the smart-building (Lab) as an IoT solution.