Privacy-Preserving Obfuscation of Critical Infrastructure Networks
May 23, 2019 Β· Declared Dead Β· π International Joint Conference on Artificial Intelligence
"No code URL or promise found in abstract"
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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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