The growing need for secure and privacy-preserving identity management in industrial environments has exposed the limitations of traditional, centralized authentication systems. In this context, SIBERIA was developed as a modular solution that empowers users to control their own digital identities, while ensuring robust protection of critical services. The system is designed in alignment with European standards and regulations, including EBSI, eIDAS 2.0, and the GDPR. SIBERIA integrates a Self-Sovereign Identity (SSI) framework with a decentralized blockchain-based infrastructure for the issuance and verification of Verifiable Credentials (VCs). It incorporates multi-factor authentication by combining a voice biometric module, enhanced with spoofing-aware techniques to detect synthetic or replayed audio, and a behavioral biometrics module that provides continuous authentication by monitoring user interaction patterns. The system enables secure and user-centric identity management in industrial contexts, ensuring high resistance to impersonation and credential theft while maintaining regulatory compliance. SIBERIA demonstrates that it is possible to achieve both strong security and user autonomy in digital identity systems by leveraging decentralized technologies and advanced biometric verification methods.

In industrial environments there are critical devices, so their correct operation must be ensured. In particular, having a secure record of the different events related to these devices is essential. Thus, this record can be used in future forensic investigations in case of accidents or production failures. In this sense, blockchain technology can bring reliability to the event log. In this paper, ChronoEOS 2.0, an extension of ChronoEOS, is presented. This new version can record the events that occur in multiple industrial robotic arms by deploying a Smart Contract in the EOSIO blockchain so that all events are immutably recorded in the blockchain. Furthermore, the new version allows using a unique fingerprint of the robot before registering an event in the blockchain. This fingerprint depends only on the characteristics of the operation and configuration of the robot. For this reason, ChronoEOS 2.0 not only increase the ability of ChronoEOS in terms of handling multiple devices but also increases the security and reliability of the operations. Finally, in this study, we verify that the new improvements have little impact on the hosting resources (RAM and Network are not altered, while CPU consumption is slightly higher due to the device fingerprinting module).