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Increasing Network Resiliency by Optimally Assigning Diverse Variants to Routing Nodes

机译:通过为路由节点最佳分配各种变量来提高网络弹性

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Networks with homogeneous routing nodes are constantly at risk as any vulnerability found against a node could be used to compromise all nodes. Introducing diversity among nodes can be used to address this problem. With few variants, the choice of assignment of variants to nodes is critical to the overall network resiliency. We present the Diversity Assignment Problem (DAP), the assignment of variants to nodes in a network, and we show how to compute the optimal solution in medium-size networks. We also present a greedy approximation to DAP that scales well to large networks. Our solution shows that a high level of overall network resiliency can be obtained even from variants that are weak on their own. We provide a variation of our problem that matches the specific communication requirements of applications run over the network (e.g., Paxos and BFT). Also, we analyze the loss in resiliency when optimally assigning variants based on inaccurate information about compromises.
机译:具有同质路由节点的网络始终处于危险之中,因为针对某个节点发现的任何漏洞都可以用来危害所有节点。在节点之间引入分集可用于解决此问题。对于很少的变体,为节点分配变体的选择对于整个网络的弹性至关重要。我们提出了分集分配问题(DAP),将变体分配给网络中的节点,并展示了如何在中型网络中计算最佳解决方案。我们还对DAP提出了贪婪的近似,它可以很好地扩展到大型网络。我们的解决方案表明,即使从本身很弱的变体中也可以获得很高的整体网络弹性。我们提供了一个问题的变体,它与通过网络运行的应用程序(例如Paxos和BFT)的特定通信要求相匹配。此外,我们会根据有关折衷的不准确信息来优化分配变体时的弹性损失。

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