This research introduces a composite framework designed to enhance cyber resilience in Cyber Physical Systems (CPS). The framework integrates Dynamic Access Control and Intrusion Detection Systems (IDSs) to improve CPS security and resilience against advanced persistent threats.
- Redefines traditional access control
- Incorporates dynamic Segregation of Duties (SoD)
- Enables real-time decision-making
- Offers context-aware control over system access
- Enhances IDS capabilities
- Distinguishes between normal and anomalous system behaviors
- Multi-layered approach to resilience
- Designed to prevent, withstand, and adapt to cyber threats
- Dynamic nature allows real-time adjustments in access control policies
- Probabilistic learning capacity for in-depth analysis of CPS access flows
- Simulations conducted in water treatment CPS scenarios
- Demonstrated effectiveness in improving security posture
- Minimal false positives in intrusion detection
- Enhanced access control
This research presents a security solution that addresses the unique challenges of Cyber-Physical Systems, ultimately bolstering cyber resilience in this critical domain.
If you use the code or concepts from this research in your work, please cite our paper. 📜
A. Orojo, E. El-Mahmoud, S. Hutton, W. Elumelu, and M. Donahoo. (2025). "A Unified Framework Incorporating AW-TRBAC and Semantic Variational Autoencoders for Dynamic Threat Detection and Access Control." International Conference on Artificial Intelligence 2025.
@inproceedings{orojo2025unified,
title={A Unified Framework Incorporating AW-TRBAC and Semantic Variational Autoencoders for Dynamic Threat Detection and Access Control},
author={Orojo, A and El-Mahmoud, E and Hutton, S and Elumelu, W and Donahoo, M},
booktitle={International Conference on Artificial Intelligence 2025},
year={2025}
}