The Complexity of the Infinity Replacement Problem in the Cyber Security Model

Supachai Mukdasanit, Sanpawat Kantabutra
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引用次数: 3

Abstract

In this article we present a new defensive problem on a security system. Let M be a security model (T, C,P), where T= (V, E) is a rooted tree rooted at r,C is a multiset of E(T) costs and P is a multiset of V(T)-1 prizes and let (T, c,p) be a security system, where c and p are bijections c: E(T) C and p: V(T) r P, respectively. Given a budget BZ+, we consider the problem of determining the existence of an edge e E(T), where c(e)=i such that the maximum total of prizes obtained from an optimal attack in the security system (T, c,p) is minimum when i is replaced by ∞. We define the decision and optimization versions of the problem and examine their computational complexities. We prove that the decision problem is NP-hard and provide a pseudopolynomial time algorithm for the optimization version of the problem. Additionally, we show that some restricted instances can be solved in polynomial time. In the end conclusion and an example of the application of the algorithm are given.
网络安全模型中无穷替换问题的复杂性
在本文中,我们提出了一个新的安全系统的防御问题。设M是一个安全模型(T, C,P),其中T= (V, E)是根于r的有根树,C是E(T)代价的多集,P是V(T)-1奖励的多集,设(T, C,P)是一个安全系统,其中C和P分别是对角C: E(T) C和P: V(T) r P。给定预算BZ+,我们考虑确定边e e (T)的存在性问题,其中c(e)=i,使得当i被∞取代时,安全系统(T, c,p)中最优攻击获得的最大总奖励最小。我们定义了问题的决策和优化版本,并检查了它们的计算复杂性。我们证明了决策问题是np困难的,并为问题的优化版本提供了一个伪多项式时间算法。此外,我们还证明了一些限制实例可以在多项式时间内求解。最后给出了结论和算法的应用实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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