Privacy-Preserving Obfuscation of Critical Infrastructure Networks

May 23, 2019 Β· Declared Dead Β· πŸ› International Joint Conference on Artificial Intelligence

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Authors Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck arXiv ID 1905.09778 Category cs.CR: Cryptography & Security Cross-listed cs.AI Citations 15 Venue International Joint Conference on Artificial Intelligence Last Checked 3 months ago
Abstract
The paper studies how to release data about a critical infrastructure network (e.g., the power network or a transportation network) without disclosing sensitive information that can be exploited by malevolent agents, while preserving the realism of the network. It proposes a novel obfuscation mechanism that combines several privacy-preserving building blocks with a bi-level optimization model to significantly improve accuracy. The obfuscation is evaluated for both realism and privacy properties on real energy and transportation networks. Experimental results show the obfuscation mechanism substantially reduces the potential damage of an attack exploiting the released data to harm the real network.
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