@inproceedings{bd4eaa70292b4f7fa9a706ee8ab24278,
title = "On confidentiality preserving monitoring of linear dynamic networks against inference attacks",
abstract = "Distributed information sharing in dynamic networks is ubiquitous. It raises the concern that confidential information of dynamic networks could be leaked to malicious entities and further exploited in direct attacks. In this paper, we formulate the problem of competitive confidentiality preserving monitoring of linear dynamic networks against inference attacks. We show that the unstructured ℓ0 minimization is NP-hard. We then provide a SDP equivalence for the structured ℓ2 minimization.",
author = "Minghui Zhu and Yang Lu",
note = "Publisher Copyright: {\textcopyright} 2015 American Automatic Control Council.; 2015 American Control Conference, ACC 2015 ; Conference date: 01-07-2015 Through 03-07-2015",
year = "2015",
month = jul,
day = "28",
doi = "10.1109/ACC.2015.7170762",
language = "English (US)",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "359--364",
booktitle = "ACC 2015 - 2015 American Control Conference",
address = "United States",
}