Improving the CRCC-DHR Reliability: An Entropy-Based Mimic-Defense-Resource Scheduling Algorithm
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View abstract on PubMed
Summary
This summary is machine-generated.China Railway Cloud Center (CRCC) faces increasing security threats due to expanding attack surfaces. This study introduces the Entropy Weight Scheduling Algorithm (REWS) to enhance CRCC Dynamic Heterogeneous Redundancy (DHR) reliability against cyber threats.
Area Of Science
- Cybersecurity
- Cloud Computing
- Network Security
Background
- The China Railway Cloud Center (CRCC) faces escalating security threats as more information systems migrate to its platform.
- Cyber Mimic Defense (CMD) technology, utilizing Dynamic Heterogeneous Redundancy (DHR), offers an active defense strategy but faces challenges with resource limitations and memorization-based attacks.
Purpose Of The Study
- To enhance the reliability of the CRCC-DHR architecture, specifically addressing the challenges of limited heterogeneous resources and memorization-based attacks.
- To improve the deployability of DHR within the CRCC by ensuring robust defense capabilities.
Main Methods
- Proposed three metrics for assessing the reliability of the CRCC-DHR architecture.
- Developed an incomplete-information-based game model to analyze attacker-defender dynamics.
- Introduced the Entropy Weight Scheduling Algorithm (REWS) for redundant-heterogeneous-resources scheduling.
Main Results
- REWS demonstrated superior reliability compared to three existing algorithms in simulations.
- REWS exhibited a lower time complexity than the compared existing algorithms.
- The proposed metrics and game model effectively assessed CRCC-DHR reliability.
Conclusions
- The REWS algorithm effectively improves the reliability of CRCC-DHR architectures against memorization-based attacks, even with limited resources.
- REWS offers a more efficient and reliable solution for deploying DHR in cloud environments like the CRCC.
- This work contributes to strengthening the security posture of critical railway information systems.
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