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Generalized Entropies and Metric-Invariant Optimal Countermeasures for Information Leakage Under Symmetric Constraints

机译:对称约束下信息泄漏的广义熵和度量不变最优对策

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We introduce a novel generalization of entropy and conditional entropy from which most definitions from the literature can be derived as particular cases. Within this general framework, we investigate the problem of designing countermeasures for information leakage. In particular, we seek metric-invariant solutions, i.e., they are robust against the choice of entropy for quantifying the leakage. The problem can be modeled as an information channel from the system to an adversary, and the countermeasures can be seen as modifying this channel in order to minimize the amount of information that the outputs reveal about the inputs. Our main result is to fully solve the problem under the highly symmetrical design constraint that the number of inputs that can produce the same output is capped. Our proof is constructive and the optimal channels and the minimum leakage are derived in closed form.
机译:我们介绍了一种新的熵和条件熵的概括,从中可以将文献中的大多数定义作为特殊情况导出。在此通用框架内,我们研究了设计信息泄漏对策的问题。特别地,我们寻求度量不变的解决方案,即,它们对于量化泄漏的熵的选择具有鲁棒性。可以将问题建模为从系统到对手的信息通道,并且可以将对策视为修改此通道,以最大程度地减少输出揭示的有关输入的信息量。我们的主要结果是在高度对称的设计约束下完全解决该问题,即可以产生相同输出的输入数量受到限制。我们的证明是建设性的,并且以封闭形式得出了最佳通道和最小泄漏。

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