D-CEWS: DEVS-Based Cyber-Electronic Warfare M&S Framework for Enhanced Communication Effectiveness Analysis in
Sang Seo1, Sangwoo Han2, Dohoon Kim1
1Department of Computer Science, Kyonggi University, Suwon-si 16227, Korea.
Sensors (Basel, Switzerland)
|May 20, 2022
Summary
This study introduces a novel framework for analyzing cyber-electronic warfare threats in drone networks. It quantifies damage effects from wireless threats, improving military modeling and simulation for enhanced combat effectiveness.
Area of Science:
- Military modernization and network-centric warfare.
- Cyber-electronic warfare (CEW) and its impact on unmanned aerial systems (UAS).
- Advanced modeling and simulation (M&S) for tactical networks.
Background:
- Modern military operations increasingly rely on tactical networks and drones.
- Cyber-electronic warfare presents significant operational risks to these systems.
- Existing M&S frameworks struggle to adequately address CEW threats in drone combat.
Purpose of the Study:
- To propose a novel discrete-event-system-specification-based cyber-electronic warfare M&S (D-CEWS) framework.
- To analyze the communication and engagement effects of CEW threats on drone networks.
- To quantify the damage effects of wireless threats on military operations.
Main Methods:
- Development of the D-CEWS integrated framework.
- Analysis of major wireless threats including multi-layered jamming, routing attacks, and network worms.
- Correlation and response logic analysis between competitive agents in communication incapacitation scenarios.
Main Results:
- Quantification of damage effects from CEW threats, previously unaddressed in military M&S.
- Calculation of damage based on packet delivery ratio (PDR) and malicious pool rate changes.
- Demonstration of relevance between threats and quantifiable mission attributes for swarming drones.
Conclusions:
- The D-CEWS framework enables comprehensive analysis of CEW threats in drone operations.
- Accurate calculation of damage effects improves the fidelity of military M&S.
- Enhanced understanding of threat correlations supports improved defensive strategies for tactical networks.
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