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Robustness of partially interdependent networks under combined attack.
Yangyang Liu1, Chengli Zhao1, Dongyun Yi1
1Department of Systems Science, College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, Hunan 410073, China.
Chaos (Woodbury, N.Y.)
|March 3, 2019
Summary
Combined attacks severely damage partially interdependent networks, revealing complex phase transitions. Robustness analysis shows combined attacks are more damaging, though conclusions vary with measurement metrics.
Area of Science:
- Network science
- Complex systems analysis
- Cybersecurity resilience
Background:
- Partially interdependent networks are crucial in modern infrastructure.
- Understanding network robustness against combined attacks is vital for security.
- Previous studies often focused on single attack types.
Purpose of the Study:
- To comprehensively assess the robustness of partially interdependent networks under combined attack scenarios.
- To analyze the impact of varying parameters like coupling strength and attack strength.
- To identify and characterize phase transitions and critical points for combined attacks.
Main Methods:
- Analytical modeling of network behavior under attack.
- Numerical simulations to validate analytical findings.
- Comparative analysis across different network types and parameter ranges.
Main Results:
- Combined attacks (random, targeted, localized) demonstrate significantly higher damage efficiency.
- Observed and characterized first and second-order phase transitions.
- Identified critical points for various combined attack strategies.
- Discovered inconsistencies in robustness conclusions based on critical removing ratio versus critical coupling strength.
Conclusions:
- Combined attacks pose a greater threat to interdependent networks than individual attacks.
- Network robustness is highly sensitive to the type and combination of attacks.
- The choice of metric for assessing robustness can influence the interpretation of network vulnerability.
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