Towards quantification of firewall policy complexity

Haining Chen, Omar Chowdhury, J. Chen, Ninghui Li, R. Proctor
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引用次数: 4

Abstract

Developing metrics for quantifying the security and usability aspects of a system has been of constant interest to the cybersecurity research community. Such metrics have the potential to provide valuable insight on security and usability of a system and to aid in the design, development, testing, and maintenance of the system. Working towards the overarching goal of such metric development, in this work we lay down the groundwork for developing metrics for quantifying the complexity of firewall policies. We are particularly interested in capturing the human perceived complexity of firewall policies. To this end, we propose a potential workflow that researchers can follow to develop empirically-validated, objective metrics for measuring the complexity of firewall policies. We also propose three hypotheses that capture salient properties of a firewall policy which constitute the complexity of a policy for a human user. We identify two categories of human-perceived policy complexity (i.e., syntactic complexity and semantic complexity), and for each of them propose potential complexity metrics for firewall policies that exploit two of the hypotheses we suggest. The current work can be viewed as a stepping stone for future research on development of such policy complexity metrics.
迈向防火墙策略复杂度的量化
开发量化系统安全性和可用性方面的指标一直是网络安全研究社区的兴趣所在。这样的度量有可能提供关于系统的安全性和可用性的有价值的见解,并在系统的设计、开发、测试和维护中提供帮助。为了实现这种度量标准开发的总体目标,在这项工作中,我们为开发用于量化防火墙策略复杂性的度量标准奠定了基础。我们对捕获人们感知到的防火墙策略的复杂性特别感兴趣。为此,我们提出了一个潜在的工作流程,研究人员可以遵循它来开发经验验证的、客观的度量防火墙策略复杂性的指标。我们还提出了三个假设,它们捕获了防火墙策略的显著属性,这些属性构成了人类用户策略的复杂性。我们确定了两类人类感知的策略复杂性(即句法复杂性和语义复杂性),并为每一类策略提出了利用我们提出的两个假设的防火墙策略的潜在复杂性度量。目前的工作可以被视为未来研究此类政策复杂性指标发展的垫脚石。
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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