Data Confidentiality in the Internet of Things

Résumé

<div><p>Internet of Things (IoT) paradigm makes billions of our everyday life objects part of the Internet. This interconnection generates a huge amount of private data, which needs to be processed, transferred, and stored. Using classical security solutions to ensure data confidentiality in this context is challenging. In fact, these solutions have to deal with high scalability requirements, heterogeneity of the involved building blocks, in addition to resources scarcity of the embedded devices such as energy and computational limitations. In this thesis, we investigate the issue of designing safe security protocols while taking into consideration IoT specificities. We proceed by studying the IoT concept, its applications, along with the different architectures and communication protocols. These latter are at the basis of any security protocol deployment. Then, we focus on the efforts of the research community by analyzing the existing state of the art approaches. Relying on the detected shortcomings, we propose four secure and energy-aware key management protocols to address the issue of establishing secure communication channels between IoT entities. To assess our protocols, we conduct an analysis using a formal validation tool to validate their security properties. Furthermore, we estimate both their computational and communication overhead to highlight energy savings. The obtained results prove the viability of our proposed solutions in the sensitive and constrained environment of IoT applications.</p></div>

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