机密数据的安全上下文

A. Bossi, Damiano Macedonio, C. Piazza, S. Rossi
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引用次数: 5

摘要

多级系统中的信息流安全旨在保证高层信息不会泄露给低层用户,即使存在任何可能的恶意进程。当有关流程将要运行的环境(上下文)的一些知识可用时,此需求可能过于苛刻。为了处理这些模拟,我们为一类进程引入了安全上下文的概念。这个概念是参数化的,与观测等价和用于表征过程低级行为的操作有关。我们主要分析了双模拟和痕量等效的情况。我们描述了如何在这些情况下构建安全上下文,并展示了两个众所周知的安全属性,即BNDC和NDC,它们只是我们一般概念的特殊实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure contexts for confidential data
Information flow security in a multilevel system aims at guaranteeing that no high level information is revealed to low level users, even in the presence of any possible malicious process. This requirement could be too demanding when some knowledge about the environment (context) in which the process is going to run is available. To deal with these simulations we introduce the notion of secure contexts for a class of processes. This notion is parametric with respect to both the observation equivalence and the operation used to characterize the low level behavior of a process. We mainly analyze the cases of bisimulation and trace equivalence. We describe how to build secure contexts in these cases and we show that two well-known security properties, named BNDC and NDC, are just special instances of our general notion.
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