信息流安全的认知时间逻辑

Musard Balliu, M. Dam, Gurvan Le Guernic
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引用次数: 58

摘要

时间认知逻辑是一个完善的框架,用于表达智能体的知识以及它如何随着时间的推移而演变。在基于语言的安全中,这些是核心问题,例如在解密的背景下。我们建议把这两个领域结合起来。本文提出了一种计算模型和一种认知时间逻辑,用于对通过观察程序输出获得的知识进行推理。这种方法被证明可以优雅地捕捉文献中不干扰和解密的标准概念,以及敏感数据和公共数据以微妙的方式混合的信息流属性。
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Epistemic temporal logic for information flow security
Temporal epistemic logic is a well-established framework for expressing agents knowledge and how it evolves over time. Within language-based security these are central issues, for instance in the context of declassification. We propose to bring these two areas together. The paper presents a computational model and an epistemic temporal logic used to reason about knowledge acquired by observing program outputs. This approach is shown to elegantly capture standard notions of noninterference and declassification in the literature as well as information flow properties where sensitive and public data intermingle in delicate ways.
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