# Siberia: A Self-Sovereign Identity and Multi-Factor Authentication Framework for Industrial Access
## 6 Limitations and Future Work
### Future Work  
To address these limitations and further enhance system capabilities, several research directions have been identified:  
* Performance and Scalability Optimization: Future efforts will focus on improving the efficiency of the authentication process by adopting optimized communication protocols and resource management techniques to reduce latency and increase responsiveness under high load.
* Enhanced Wallet Recovery Mechanisms: More seamless and secure mechanisms for wallet recovery will be explored, including social recovery schemes and multi-device synchronization approaches, in alignment with SSI principles.
* Adaptability of Behavioral Biometrics: The behavioral biometrics module will be refined to support scenarios with minimal interaction or changing user workflows, potentially through online learning strategies and the incorporation of contextual data.
* Adaptive Decision Thresholds: Dynamic thresholding mechanisms will be studied, allowing the system to adjust sensitivity based on contextual risk factors or historical authentication patterns.
* Integration with Edge Computing and IIoT Devices: Future versions of SIBERIA may delegate parts of the authentication process, such as preliminary verification or anomaly detection, to edge computing nodes or IIoT gateways. This could increase autonomy and resilience in environments with limited network access.
* Validation in Real-World Scenarios: The system will be validated in representative industrial contexts that replicate actual operating conditions and involve a diverse user base to improve model generalizability and robustness.
* Multi-Level Alert System: A hierarchical alert mechanism is envisioned, capable of responding to anomalous behavior with graduated actions, ranging from warnings to re-authentication requests. This would strengthen security without degrading user experience.  
Methodology, D.P.-G., J.A.F.-C., J.C.V.-C., and A.A.M.; Software, D.P.-G., J.C.V.-C., S.A.M.-A., A.G.-D., and Y.d.D.L.; Validation, D.P.-G., J.A.F.-C., J.A.M.L., J.C.V.-C., and Y.d.D.L.; Formal analysis, J.C.V.-C., A.A.M.; Investigation, D.P.-G., J.A.F.-C., J.C.V.-C., and A.A.M.; Resources, A.A.M.; Data curation, J.A.M.L., J.J.Y., S.A.M.-A. and H.A.I.; Visualization, D.P.-G., J.C.V.-C., and Y.d.D.L.; Supervision, D.P.-G., J.A.F.-C., and A.A.M.; Project administration, D.P.-G., J.A.F.-C., and A.A.M.; Writing--original draft: D.P.-G., J.A.F.-C., J.A.M.L., J.C.V.-C., and I.J.Y.; Writing--review and editing, D.P.-G., J.A.F.-C., and J.C.V.-C. All authors have read and agreed to the published version of the manuscript.  
**Funding:** This research was funded by Vicomtech grant number E22109/2024. The APC was funded by Vicomtech.  
**Institutional Review Board Statement:** Not applicable.  
**Informed Consent Statement:** Not applicable.  
**Data Availability Statement:** The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.  
**Conflicts of Interest:** The authors declare no conflicts of interest.