TY - Type of reference TI - Reinforcement Learning and Blockchain to secure the Internet of Things AU - Aissam Outchakoucht AU - Hamza Es-Samaali AU - Anas Abou El Kalam AU - Siham Benhadou AB - Securing the IoT world in not a luxury task; it is even a matter of urgency given this exponential growth of IoT market. In fact, one can easily imagine the catastrophic damages of an attack in the field of e-Health or in the smart cities and critical infrastructures management. That being said, serious problems derived from these constrained environments block the proposal of pertinent solutions. This paper is a contribution step in this direction. To address these problems, we expose a global framework inspired from the concept of emergence in order to take advantage of this large number of devices and extract the "emergent" characteristics that are nonexistent in smaller systems. The framework is built on top of two pillars: Blockchain as architecture and Reinforcement Learning as processing toolkit. DO - 10.21494/ISTE.OP.2019.0324 JF - Internet of Things KW - emergence, machine learning, Blockchain, Security; Internet of Things, Access control, Dynamic policy, Reputation, Reinforcement learning, émergence, Internet des Objets, apprentissage automatique, Blockchain, Sécurité, Contrôle d’accès, Politique dynamique, Réputation, Apprentissage par Renforcement, L1 - https://www.openscience.fr/IMG/pdf/iste_ido19v3n1_3.pdf LA - en PB - ISTE OpenScience DA - 2019/02/7 SN - 2514-8273 TT - Apprentissage par Renforcement et Blockchain : Nouvelle approche pour sécuriser l’IoT UR - https://www.openscience.fr/Reinforcement-Learning-and-Blockchain-to-secure-the-Internet-of-Things IS - Issue 1 VL - 3 ER -