,
Grzegorz Gutowski
,
Tomasz Krawczyk
Creative Commons Attribution 4.0 International license
In a graph G, a k-attack A is any set of at most k vertices and 𝓁-defense D is a set of at most 𝓁 vertices. We say that defense D counters attack A if each a ∈ A can be matched to a distinct defender d ∈ D with a equal to d or a adjacent to d in G. In the defensive domination problem, we are interested in deciding, for a graph G and positive integers k and 𝓁 given on input, if there exists an 𝓁-defense that counters every possible k-attack on G. Defensive domination is a natural resource allocation problem and can be used to model network robustness and security, disaster response strategies, and redundancy designs. The defensive domination problem is naturally in the complexity class Σ^𝖯₂. The problem was known to be NP-hard in general, and polynomial-time algorithms were found for some restricted graph classes. In this note, we prove that the defensive domination problem is Σ^𝖯₂-complete. We also introduce a natural variant of the defensive domination problem in which the defense is allowed to be a multiset of vertices. This variant is also Σ^𝖯₂-complete, but we show that it admits a polynomial-time algorithm in the class of interval graphs. A similar result was known for the original setting in the class of proper interval graphs.
@InProceedings{chaplick_et_al:LIPIcs.MFCS.2025.35,
author = {Chaplick, Steven and Gutowski, Grzegorz and Krawczyk, Tomasz},
title = {{A Note on the Complexity of Defensive Domination}},
booktitle = {50th International Symposium on Mathematical Foundations of Computer Science (MFCS 2025)},
pages = {35:1--35:15},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-388-1},
ISSN = {1868-8969},
year = {2025},
volume = {345},
editor = {Gawrychowski, Pawe{\l} and Mazowiecki, Filip and Skrzypczak, Micha{\l}},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2025.35},
URN = {urn:nbn:de:0030-drops-241420},
doi = {10.4230/LIPIcs.MFCS.2025.35},
annote = {Keywords: graph domination, computational complexity}
}