Field Escape Analysis for Data Confidentiality in Java Components

Aiwu Shi, G. Naumovich
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引用次数: 2

Abstract

This paper presents an extension of escape analysis for static detection of threats to data confidentiality in Java components, called field escape analysis. We augment existing escape analyses, which are typically based on points-to analysis for reference (or pointer) type, with data and control dependence analyses with respect to primitive type. To meet the demand of security analysis, we propose a graph representation, called primitive value dependence graph (PVDG), and a novel semantics for dependence analysis. We have built a static analysis tool for Java components called SecDetector. In the experimental evaluation, using different combinations of underlying analysis techniques (e.g., points-to analysis, dependence analysis), we evaluated trades-offs between precision and performance on five publicly-available J2EE applications. On the benchmarks examined, there are few false positives in our study. It provides evidence of the usefulness of our approach.
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Java组件中数据机密性的字段转义分析
本文提出了对Java组件中数据机密性威胁的静态检测的转义分析的扩展,称为字段转义分析。我们对现有的转义分析(通常基于引用(或指针)类型的点到分析)进行了扩充,并对基本类型进行了数据和控制依赖分析。为了满足安全分析的需要,我们提出了一种原始值依赖图(PVDG)的图表示和一种新的依赖分析语义。我们已经为Java组件构建了一个名为SecDetector的静态分析工具。在实验评估中,使用底层分析技术的不同组合(例如,点对分析、依赖分析),我们在五个公开可用的J2EE应用程序上评估了精度和性能之间的权衡。在检验的基准中,我们的研究中很少有误报。它证明了我们的方法的有效性。
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