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Operational cyber resilience assessment of edge IoT systems using a PH MMPP framework from IDS observable attack
1Computer Control Systems Department, Vinnytsia National Technical University, Khmelnitske Shose Str., 95, Vinnytsia, 21000, Ukraine. kovtun_v_v@vntu.edu.ua.
Scientific Reports
|July 16, 2026
Summary
This study introduces a cyber resilience framework for Edge-IoT systems, quantifying service degradation under cyberattacks. The framework enhances intrusion detection by analyzing queueing dynamics and service survivability for operational stability.
Area of Science:
- Cybersecurity
- Internet of Things (IoT)
- Queueing Theory
Background:
- Edge-IoT systems face increasing cyber threats.
- Existing intrusion detection systems (IDS) lack quantitative resilience assessment.
- Operational degradation under attack is not fully understood.
Purpose of the Study:
- Develop a quantitative framework to assess Edge-IoT cyber resilience.
- Transform IDS-observable attack traffic into service degradation indicators.
- Evaluate the impact of escalating attacks on Edge-IoT services.
Main Methods:
- Developed an analytical PH/MMPP priority-clearing framework.
- Integrated IDS-observable attack regimes with queueing dynamics.
- Utilized CICIoT2023 and Edge-IIoTset datasets for calibration.
- Applied spectral stability analysis for overload risk assessment.
Main Results:
- Significant Edge-IoT service degradation observed under attack escalation.
- Mean queue length increased from 0.74 to 286.91 packets.
- Service survivability probability decreased from 0.983 to 0.0064.
- Virtual queueing delay rose from 0.011 to 11.428 seconds.
Conclusions:
- The proposed framework enables quantitative cyber resilience evaluation for Edge-IoT.
- It bridges the gap between attack detection and operational impact assessment.
- The approach provides a unified stochastic method for analyzing service survivability and stability.
