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Impact of imperfect information on network attack.
Andrew Melchionna1,2, Jesus Caloca1,3, Shane Squires1
1Institute for Research in Electronics and Applied Physics, University of Maryland, College Park, Maryland 20742, USA.
Summary
Network attacks using dynamical importance and betweenness centrality remain effective even with imperfect information. Scale-free networks are less affected by information errors than Erdős-Rényi networks.
Area of Science:
- Network science
- Cybersecurity
- Complex systems analysis
Background:
- Understanding network vulnerabilities is crucial for cybersecurity.
- Network attack strategies often assume complete information, which is unrealistic.
- Imperfect information poses a significant challenge to network attack effectiveness.
Purpose of the Study:
- To evaluate the robustness of different network attack strategies under conditions of imperfect information.
- To compare the performance of centrality-based attacks against degree-based attacks with varying levels of information error.
- To analyze the impact of missing versus false links on network attack efficacy in different network models.
Main Methods:
- Simulations were conducted on Erdős-Rényi and scale-free network models.
- Attack strategies evaluated included those based on dynamical importance, betweenness centrality, and degree centrality.
- Imperfect information was introduced by varying the accuracy of network topology data, including missing and false links.
Main Results:
- Dynamical importance and betweenness centrality attacks showed surprising robustness to moderate information error in Erdős-Rényi networks.
- These centrality-based attacks outperformed degree-based attacks even with moderate information errors.
- Scale-free networks demonstrated significantly less degradation in attack effectiveness compared to Erdős-Rényi networks when facing information errors.
- In Erdős-Rényi networks, missing links had a more detrimental effect on attack effectiveness than false links.
Conclusions:
- Centrality-based network attack strategies are resilient to imperfect information, particularly in Erdős-Rényi networks.
- Network structure (scale-free vs. Erdős-Rényi) significantly influences attack robustness against information uncertainty.
- The nature of information error (missing vs. false links) critically impacts attack effectiveness in specific network types.
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