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• W3184394487 abstract "In this paper, we develop solutions to the problem of identifying the <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>k most vital cut-sets</i> of a network under limited attacking resources in a network interdiction context. We treat three different versions of the problem, each having a different objective: namely, the highest probability of a successful attack, the least cost attack, and the least expected cost attack combining both success probability and attacking cost. We introduce a budget constraint to reflect the resource limitation of the attacker. We consider both the case of disjoint and non-disjoint cut-sets to target. We develop a simulation-optimization approach accounting for various techniques including the shortest path problem and the min-cut problem. The solution method is found to be very efficient even for large-scale networks. We implement the suggested algorithms for illustration purposes." @default.
• W3184394487 created "2021-08-02" @default.
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• W3184394487 date "2021-01-01" @default.
• W3184394487 modified "2023-10-18" @default.
• W3184394487 title "Attack Strategies on Networks With a Budget Constraint" @default.
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• W3184394487 doi "https://doi.org/10.1109/access.2021.3097039" @default.
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