6533b86dfe1ef96bd12c9ba9

RESEARCH PRODUCT

Autonomous management of Quality of Service and security in an Internet of Things environment

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Nowadays, the Internet of Things (IoT) is becoming important in our daily lives thanks to technological advances. This paradigm aims to improve the quality of human life through automating several tasks. In this context, service level guarantee within IoT environments is a major challenge while considering a massive deployment of IoT applications and services as well as extending their usage to different domains. The IoT service level can be characterized in two parts: Quality of Service (QoS) and security. Moreover, this service level must be managed in an autonomic manner within the IoT environment given the heterogeneity and the size of its infrastructure making it difficult, even impossible, their management in a manual manner by the administrators. In this thesis, we propose a QoS based channel access control mechanism, called QBAIoT (QoS Based Access for IoT environments), to ensure a differentiated processing of existing traffics in the IoT environment. The differentiated processing allows satisfying the requirements of each traffic according to different QoS parameters (i.e., delay, jitter, packet delivery ratio, etc.). Then, QBAIoT is improved and upgraded to integrate self-management capabilities thanks to two important functions of the closed control loop: self-configuration and self-optimization. In addition, to offer a better QoS within the IoT environment, it is necessary to optimize the energy consumption of resources’ constrained components. Thus, we propose an adaptation of QBAIoT allowing to reduce its energy consumption in an autonomic manner while respecting the data accuracy. Our contribution concerning the second part of service level guarantee within an IoT environment, which is security, consists is a mechanism enabling IoT objects access control to IoT gateways, called IoT-MAAC (IoT Multiple Attribute Access Control). This mechanism takes into account different parameters that are specific to IoT environments (i.e., IoT object trust, IoT object identifier, IoT object fingerprint, etc.). Finally, the decision making process regarding IoT object access control is autonomously managed by IoT gateways and aims to meet the requirements of IoT environment in terms of trust.