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        <identifier>oai:drops-oai.dagstuhl.de:24142</identifier>
        <datestamp>2025-11-12T12:33:34Z</datestamp>
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          <dc:title>A Note on the Complexity of Defensive Domination</dc:title>
          <dc:creator>Chaplick, Steven</dc:creator>
          <dc:creator>Gutowski, Grzegorz</dc:creator>
          <dc:creator>Krawczyk, Tomasz</dc:creator>
          <dc:subject>graph domination</dc:subject>
          <dc:subject>computational complexity</dc:subject>
          <dc:description>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.&#13;
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.&#13;
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.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Steven Chaplick and Grzegorz Gutowski and Tomasz Krawczyk</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 345, 50th International Symposium on Mathematical Foundations of Computer Science (MFCS 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.MFCS.2025.35</dc:identifier>
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          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2025.35</dc:identifier>
          <dc:language>eng</dc:language>
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