Compositionality Results for Quantitative Information Flow

Compositionality Results for Quantitative Information Flow
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定量信息流的组合性结果

DOI:
10.1007/978-3-319-10696-0_28
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发表时间:
2014
影响因子:
--
通讯作者:
C. Palamidessi
C. Palamidessi
中科院分区:
--
文献类型:
--
作者:
Yusuke Kawamoto;K. Chatzikokolakis;C. Palamidessi

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在最小熵的方法来定量信息流,泄漏定义在一个最小化问题,这在大型系统的情况下,可以是计算相当繁重。最近提出的称为g-脆弱性的推广也是如此。在本文中,我们研究的情况下,与系统相关联的通道可以分解成更简单的通道,这通常发生在可观的几个组成部分。我们的主要贡献是推导出的g-泄漏的整个系统的g-泄漏的组件方面的界限。
In the min-entropy approach to quantitative information flow, the leakage is defined in terms of a minimization problem, which, in case of large systems, can be computationally rather heavy. The same happens for the recently proposed generalization called g-vulnerability. In this paper we study the case in which the channel associated to the system can be decomposed into simpler channels, which typically happens when the observables consist of several components. Our main contribution is the derivation of bounds on the g-leakage of the whole system in terms of the g-leakages of its components.
DOI: 10.1109/csf.2013.20
发表时间: 2013
期刊: --
影响因子: --
作者:
Chothia T
通讯作者: Chothia T