The evolution of the Internet of Things (IoT) started decades ago as part of the first face of the digital transformation, its vision has further evolved due to a convergence of multiple technologies, ranging from wireless communication to the Internet and from embedded systems to micro-electromechanical systems. As a consequence thereof, IoT platforms are being heavily developed, smart factories are being planned to revolutionize the industry organization and both security and trust requirements are becoming more and more critical. The integration of such technologies within the manufacturing environment and processes in combination with other technologies has introduced the fourth industrial revolution referred to also as Industry 4.0. In this future world machines will talk to machines (M2M) to organize the production and coordinate their actions. However opening connectivity to the external world raises several questions about data and IT infrastructure security that were not an issue when devices and machines were controlled locally and just few of them were connected to some other remote systems. That’s why ensuring a secure communication between heterogeneous and reliable devices is essential to protect exchanged information from being stolen or tampered by malicious cyber attackers that may harm the production processes and put the different devices out of order. Without appropriate security solutions, these systems will never be deployed globally due to all kinds of security concerns. That’s why ensuring a secure and trusted communication between heterogeneous devices and within dynamic and decentralized environments is essential to achieve users acceptance and to protect exchanged information from being stolen or tampered by malicious cyber attackers that may harm the production processes and put the different devices out of order. However, building a secure system does not only mean protecting the data exchange but it requires also building a system where the source of data and the data itself is being trusted by all participating devices and stakeholders. In this thesis our research focused on four complementary issues, mainly (I) the dynamic and trust based management of access over shared resources within an Industry 4.0 based distributed and collaborative system, (ii) the establishment of a privacy preserving solution for related data in a decentralized architecture while eliminating the need to rely on additional third parties, (iii) the verification of the safety, the correctness and the functional accuracy of the designed framework and (iv) the evaluation of the trustworthiness degree of interacting parties in addition to the secure storage and sharing of computed trust scores among them in order to guarantee their confidentiality, integrity and privacy. By focusing on such issues and taking into account the conventional characteristics of both IoT and IoT enabled industries environments, we proposed in this thesis a secure and distributed framework for resource management in Industry 4.0 environments. The proposed framework, enabled by the blockchain technology and driven by peer to peer networks, allows not only the dynamic access management over shared resources but also the distribute governance of the system without the need for third parties that could be their-selves vulnerable to attacks. Besides and in order to ensure strong privacy guarantees over the access control related procedures, a privacy preserving scheme is proposed and integrated within the distributed management framework. Furthermore and in order to guarantee the safety and the functional accuracy of our framework software components, we focused on their formal modeling in order to validate their safety and compliance with their specification. Finally, we designed and implemented the proposal in order to prove its feasibility and analyze its performances.