假设你知道:表达流策略的关系注释的认知语义

A. Chudnov, D. Naumann
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引用次数: 4

摘要

许多高级安全需求是关于程序中允许的信息流的,但由于它们涉及选择性降级,因此很难精确地确定。对于指定和执行降级政策,已经提出了相当多相互不兼容和特别的方法。先前对这些方法的调查并没有提供一个统一的技术框架。来自认知逻辑的概念已经成为策略语义的一种很好的方法,但在很大程度上远离了发达的静态和动态执行技术。我们开发了一个统一的框架,用于表达、给出含义和执行信息降级策略,该策略建立在众所周知和广泛部署的概念和技术之上,特别是静态和动态断言检查。这些概念应该使信息流易于访问,并使没有经过特殊培训的开发人员能够指定精确的策略。统一的框架允许直接比较不同的策略规范样式,并通过利用现有技术来实施它们。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assuming You Know: Epistemic Semantics of Relational Annotations for Expressive Flow Policies
Many high-level security requirements are about the allowed flow of information in programs, but are difficult to make precise because they involve selective downgrading. Quite a few mutually incompatible and ad-hoc approaches have been proposed for specifying and enforcing downgrading policies. Prior surveys of these approaches have not provided a unifying technical framework. Notions from epistemic logic have emerged as a good approach to policy semantics but are considerably removed from well developed static and dynamic enforcement techniques. We develop a unified framework for expressing, giving meaning and enforcing information downgrading policies that builds on commonly known and widely deployed concepts and techniques, especially static and dynamic assertion checking. These concepts should make information flow accessible and enable developers without special training to specify precise policies. The unified framework allows to directly compare different policy specification styles and enforce them by leveraging existing techniques.
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