Aggregating CVSS Base Scores for Semantics-Rich Network Security Metrics

Pengsu Cheng, Lingyu Wang, S. Jajodia, A. Singhal
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引用次数: 63

Abstract

A network security metric is desirable in evaluating the effectiveness of security solutions in distributed systems. Aggregating CVSS scores of individual vulnerabilities provides a practical approach to network security metric. However, existing approaches to aggregating CVSS scores usually cause useful semantics of individual scores to be lost in the aggregated result. In this paper, we address this issue through two novel approaches. First, instead of taking each base score as an input, our approach drills down to the underlying base metric level where dependency relationships have well-defined semantics. Second, our approach interprets and aggregates the base metrics from three different aspects in order to preserve corresponding semantics of the individual scores. Finally, we confirm the advantages of our approaches through simulation.
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为语义丰富的网络安全度量聚合CVSS基础分数
在评估分布式系统中安全解决方案的有效性时,需要一个网络安全度量。汇总单个漏洞的CVSS分数为网络安全度量提供了一种实用的方法。然而,聚合CVSS分数的现有方法通常会导致单个分数的有用语义在聚合结果中丢失。在本文中,我们通过两种新颖的方法来解决这个问题。首先,我们的方法不是将每个基本分数作为输入,而是深入到基础的基本度量级别,其中依赖关系具有良好定义的语义。其次,我们的方法从三个不同的方面解释和汇总基本指标,以保持个人分数的相应语义。最后,通过仿真验证了所提方法的优越性。
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