Mitigation of malicious attacks on networks.

Area of Science:

• Network Science
• Systems Engineering
• Risk Management

Background:

• Modern societies face significant threats from terrorist attacks on critical infrastructure.
• Attacks on transportation, power, and communication networks can cause widespread disruption.
• Existing networks may lack sufficient resilience against malicious disruptions.

Purpose of the Study:

• To develop a novel measure for network robustness against malicious attacks.
• To devise an efficient and cost-effective method for mitigating these risks.
• To demonstrate the applicability and benefits of the proposed method on real-world and model networks.

Main Methods:

• Introduction of a new quantitative measure for network robustness.
• Development of an optimization method to restructure networks for enhanced resilience.
• Empirical validation using the European electricity system, the Internet, and complex network models.

Main Results:

• Small, low-cost modifications to network structure can dramatically improve robustness.
• Network functionality remains largely unchanged after structural improvements.
• The proposed method effectively enhances the resilience of diverse network types.

Conclusions:

• The findings offer a practical approach to significantly improve the robustness of existing infrastructures at low cost.
• The results are valuable for designing new network systems that are economically robust against attacks.
• This research contributes to securing critical infrastructure in the face of evolving threats.