量化针对资源耗尽攻击的网络弹性

Glenn A. Fink, Richard L. Griswold, Zachary W. Beech
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引用次数: 6

摘要

众所周知,信息科学中的弹性很难定义,更不用说衡量了。但在机械工程中,物质的弹性在数学上被定义为应力-应变曲线下的面积。我们结合了材料力学的灵感和排队论的公理,试图精确地定义信息系统的弹性。我们首先从语言学和工程学的角度研究弹性的含义,然后将这些定义翻译到信息科学中。作为对我们方法适用性的总体评估,我们量化了如何在一个简单的排队系统中衡量弹性。通过使用一个非常简单的模型,我们可以清晰地应用已建立的理论,同时足够灵活地应用于信息科学和网络安全中的许多其他工程环境。我们通过模拟和分析网络排队系统来测试我们对弹性的定义。最后,我们对结果进行了讨论,并对今后的工作提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying cyber-resilience against resource-exhaustion attacks
Resilience in the information sciences is notoriously difficult to define much less to measure. But in mechanical engineering, the resilience of a substance is mathematically well-defined as an area under the stress-strain curve. We combined inspiration from mechanics of materials and axioms from queuing theory in an attempt to define resilience precisely for information systems. We first examine the meaning of resilience in linguistic and engineering terms and then translate these definitions to information sciences. As a general assessment of our approach's fitness, we quantify how resilience may be measured in a simple queuing system. By using a very simple model we allow clear application of established theory while being flexible enough to apply to many other engineering contexts in information science and cyber security. We tested our definitions of resilience via simulation and analysis of networked queuing systems. We conclude with a discussion of the results and make recommendations for future work.
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