Internet of Things (IoT) is one of the promising technologies that has attracted a lot of attention in both industrial and academic fields these years. It aims to integrate seamlessly both physical and digital worlds in one single ecosystem that makes up a new intelligent era of Internet. This technology offers a huge business value for organizations and provides opportunities for many existing applications such as energy, healthcare and other sectors. However, as new emergent technology, IoT suffers from several security issues which are most challenging than those from other fields regarding its complex environment and resources-constrained IoT devices. A lot of researches have been initiated in order to provide efficient security solutions in IoT, particularly to address resources constraints and scalability issues. Furthermore, some technologies related to networking and cryptocurrency fields such as Software Defined Networking (SDN) and Blockchain are revolutionizing the world of the Internet of Things thanks to their efficiency and scalability. In this paper, we provide a comprehensive top down survey of the most recent proposed security and privacy solutions in IoT. We discuss particularly the benefits that new approaches such as blockchain and Software Defined Networking can bring to the security and the privacy in IoT in terms of flexibility and scalability. Finally, we give a general classification of existing solutions and comparison based on important parameters.

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The Internet of Things (IoT) is an emerging technology that aims to extend connectivity to all everyday devices. One of the main challenges that are slowing down its development is how to secure the Device-to-Device communication. Among all the security issues, the Key Management (KM) is one of the most challenging. The difficulty lies in the fact that most of the IoT devices suffer from a lack of resources. Although different protocols were proposed, most of them do not consider the dynamic nature of the IoT. Other solutions rely on a centralized entity to distribute the new keys upon a change in the network. However, this entity becomes a single point of failure and the main target of attacks. We propose a novel blockchain-based decentralized KM protocol. In addition to being resilient, scalable and dynamic, our solution uses the blockchain technology to securely distribute the KM on several entities.

Abstract-Internet of Things is a new emerging technology that promises a new era of Internet through encompassing seamlessly physical and digital worlds in one single intelligent ecosystem. This goal is achieved by interconnecting a large number of smart objects from the physical word such as smartphones, sensors, robots, connected cars, etc., to Internet. Nowadays, with the advent of Internet of Things, we need efficient mechanisms to remotely control IoT smart actuators by users and controllers using smartphones and IoT devices. This arises particularly in industrial Cyber-Physical Systems to supervise industrial processes. However, the complex environment of IoT systems makes this task very difficult to achieve regarding the number of connected objects and their resource limitation. In this paper, we tackle the problem of remote secure control of IoT actuators. We propose a distributed lightweight fine-grained access control based on Attribute Based Encryption mechanism and one way hash chain. We conducted security analysis and formal verification using AVISPA. The results demonstrated that our scheme is secure against various attacks. Moreover, the simulation results demonstrated the scalability and the efficiency of our solution, which saves substantially energy consumption and computation costs.

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