Quantifying the Security Profile of Linux Applications

Georgios C. Androutsopoulos, Giorgos Kappes, S. Anastasiadis
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Abstract

There is an increasing interest to quantify and improve the isolation provided by containers to competing applications on multitenant hosts. As a first step to address this need, we introduce several metrics that quantify the exposure of the applications to the source code of the kernel subsystems. Based on existing tracing tools, we develop a common framework and build two toolchains that automate the extraction of the metrics. We experimentally compare the tracing accuracy of the toolchains by calculating the metrics across different workloads and demonstrate the importance of separating the application execution from unrelated system activity.
量化Linux应用的安全配置文件
人们对量化和改进容器为多租户主机上的竞争应用程序提供的隔离越来越感兴趣。作为解决这一需求的第一步,我们引入了几个量化应用程序对内核子系统源代码的暴露的度量。基于现有的跟踪工具,我们开发了一个公共框架,并构建了两个工具链,用于自动提取度量。我们通过计算跨不同工作负载的度量,实验地比较了工具链的跟踪准确性,并演示了将应用程序执行与不相关的系统活动分离的重要性。
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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