The course introduces the fundamental concepts of Self-Sovereign Identity (SSI) applied to the world of connected objects, with particular focus on the OT (Operational Technology) context. In an era where industrial devices, sensors, and machines interact autonomously, it becomes crucial to equip these objects with a verifiable, interoperable, and secure digital identity. The course aims to provide a clear view of the opportunities offered by SSI in production and automation contexts, with a focus on practical application and technology transfer.
CONTENT
- Introduction to the basic concepts of Self-Sovereign Identity.
- Decentralized Identifiers (DID) and Verifiable Credentials: standards and technologies.
- SSI architecture: wallet, issuer, holder, verifier.
- SSI for objects and devices: differences between human and machine identities.
- Interaction between SSI and OT protocols (Modbus, OPC-UA, etc.).
- Use cases in the industrial field: traceability, secure authentication, interoperability between machines.
- Demo or simulation: provisioning of an SSI identity on a physical or virtual object.
- Considerations on security, governance, and scalability in OT environments.
OBJECTIVES
- Provide a clear understanding of the SSI paradigm and its benefits for the industry.
- Illustrate the methods of applying decentralized identity to OT objects.
- Analyze the operational, technical, and security implications related to the introduction of SSI in the industrial field.
- Stimulate reflection on specific use cases for the company or reference sector.
LEARNING OUTCOMES
- Acquisition of basic skills in SSI, DID, and verifiable credentials.
- Ability to evaluate concrete application scenarios in the OT field.
- Knowledge of enabling technologies and their integration methods with existing infrastructures.
- Encouragement to adopt decentralized solutions for the recognition and management of smart objects.
PREREQUISITES
To take advantage of this course, it is necessary to have basic knowledge of cybersecurity and advanced knowledge of IoT and electronic design.