A new enforcement on declassification with reachability analysis

Cong Sun, Liyong Tang, Zhong Chen
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引用次数: 3

Abstract

Language-based information flow security aims to decide whether an action-observable program can unintentionally leak confidential information if it has the authority to access confidential data. Recent concerns about declassification polices have provided many choices for practical intended information release, but more precise enforcement mechanism for these policies is insufficiently studied. In this paper, we propose a security property on the where-dimension of declassification and present an enforcement based on automated verification. The approach automatically transforms the abstract model with a variant of self-composition, and checks the reachability of illegal-flow state of the model after transformation. The self-composition is equipped with a store-match pattern to reduce the state space and to model the equivalence of declassified expressions in the premise of property. The evaluation shows that our approach is more precise than type-based enforcement.
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基于可及性分析的解密新方法
基于语言的信息流安全的目的是确定一个动作可观察程序是否会在无意中泄露机密信息,如果它有权访问机密数据。近年来对解密政策的关注为实际的有意信息发布提供了许多选择,但对这些政策更精确的执行机制研究不足。在本文中,我们提出了解密的where-dimension的安全属性,并提出了一种基于自动验证的强制执行方法。该方法利用自组合的一种变体对抽象模型进行自动转换,并对转换后的模型非法流状态的可达性进行检测。自组合采用存储-匹配模式,减少状态空间,在属性前提下模拟解密表达式的等价性。评估表明,我们的方法比基于类型的强制执行更精确。
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