Securing industrial internet of things architectures through Blockchain

It's been ten years since blockchain technology was created. This amalgam of cryptography and peer-to-peer application brings many innovations and securities services beyond financial services to regular information systems and offers new use cases for distributed applications in industrial context. Meanwhile, IoT became prominent in the industry as the future industrial revolution, bringing new applications but paving the way for security vulnerabilities. During this thesis, we explored the main issues facing the Internet of Things. We studied how IIoT platform providers address these challenges by comparing the measures they have implemented with the ITU recommendations using the Analytic Hierarchical Process (AHP). This study allowed us to identify areas of improvement and use cases for the blockchain. Identity management is a recurring problem in the IIoT literature, and we propose an identity management approach for distributed systems assisted by blockchain to guarantee the uniqueness of identities and the integrity of the directory. From this work, we have developed a blockchain-secured firmware update distribution and validation system using the machine learning algorithm Locality Sensitive Hashing (LSH).