Privacy-Preserving Obfuscation of Critical Infrastructure Networks
Abstract
The paper studies how to release data about a critical infrastructure network (e.g., a 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.
Cite
Text
Fioretto et al. "Privacy-Preserving Obfuscation of Critical Infrastructure Networks." International Joint Conference on Artificial Intelligence, 2019. doi:10.24963/IJCAI.2019/152Markdown
[Fioretto et al. "Privacy-Preserving Obfuscation of Critical Infrastructure Networks." International Joint Conference on Artificial Intelligence, 2019.](https://mlanthology.org/ijcai/2019/fioretto2019ijcai-privacy/) doi:10.24963/IJCAI.2019/152BibTeX
@inproceedings{fioretto2019ijcai-privacy,
title = {{Privacy-Preserving Obfuscation of Critical Infrastructure Networks}},
author = {Fioretto, Ferdinando and Mak, Terrence W. K. and Van Hentenryck, Pascal},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2019},
pages = {1086-1092},
doi = {10.24963/IJCAI.2019/152},
url = {https://mlanthology.org/ijcai/2019/fioretto2019ijcai-privacy/}
}