Improving network robustness against localized attacks by link modification

Localized attacks disrupt nodes within specific regions, posing challenges in network science due to their relevance to phenomena like natural disasters. This study explores strategies to improve network robustness against such attacks through selective link modifications. Two approaches are evaluated: link addition, introducing connections to enhance connectivity, and link removal, targeting specific links to reduce failure propagation. Simulations reveal that the longest-distance strategy is effective for adding a few links, while the low-degree strategy excels with more links. For link removal, the hub-cutting strategy enhances robustness by limiting connectivity between high-degree nodes. These results highlight practical methods to counter localized disruptions.

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Publication Details

Journal
Nonlinear Theory and Its Applications IEICE
Published
2025-01-01
DOI
https://doi.org/10.1587/nolta.16.561
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Improving network robustness against localized attacks by link modification

Fujio Toriumi, Masaki Chujyo, Shu Liu
Nonlinear Theory and Its Applications IEICE
Network Security and Intrusion Detection
article

Improving network robustness against localized attacks by link modification

Fujio Toriumi, Masaki Chujyo, Shu Liu
article en

Abstract

Localized attacks disrupt nodes within specific regions, posing challenges in network science due to their relevance to phenomena like natural disasters. This study explores strategies to improve network robustness against such attacks through selective link modifications. Two approaches are evaluated: link addition, introducing connections to enhance connectivity, and link removal, targeting specific links to reduce failure propagation. Simulations reveal that the longest-distance strategy is effective for adding a few links, while the low-degree strategy excels with more links. For link removal, the hub-cutting strategy enhances robustness by limiting connectivity between high-degree nodes. These results highlight practical methods to counter localized disruptions.

Nonlinear Theory and Its Applications IEICEVol. 16(3)
The University of Tokyo (JP)
Openalex Percentile: Top 83%
Network Security and Intrusion Detection
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Improving network robustness against localized attacks by link modification — Fujio Toriumi, Masaki Chujyo, et al. · Nonlinear Theory and Its Applications IEICE (2025) | TGRS Research Map | TGRS