On confidentiality preserving monitoring of linear dynamic networks against inference attacks

Minghui Zhu, Yang Lu

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    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.

    Original languageEnglish (US)
    Title of host publicationACC 2015 - 2015 American Control Conference
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages359-364
    Number of pages6
    ISBN (Electronic)9781479986842
    DOIs
    StatePublished - Jul 28 2015
    Event2015 American Control Conference, ACC 2015 - Chicago, United States
    Duration: Jul 1 2015Jul 3 2015

    Publication series

    NameProceedings of the American Control Conference
    Volume2015-July
    ISSN (Print)0743-1619

    Other

    Other2015 American Control Conference, ACC 2015
    CountryUnited States
    CityChicago
    Period7/1/157/3/15

    Fingerprint

    Monitoring

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering

    Cite this

    Zhu, M., & Lu, Y. (2015). On confidentiality preserving monitoring of linear dynamic networks against inference attacks. In ACC 2015 - 2015 American Control Conference (pp. 359-364). [7170762] (Proceedings of the American Control Conference; Vol. 2015-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2015.7170762
    Zhu, Minghui ; Lu, Yang. / On confidentiality preserving monitoring of linear dynamic networks against inference attacks. ACC 2015 - 2015 American Control Conference. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 359-364 (Proceedings of the American Control Conference).
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    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.",
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    Zhu, M & Lu, Y 2015, On confidentiality preserving monitoring of linear dynamic networks against inference attacks. in ACC 2015 - 2015 American Control Conference., 7170762, Proceedings of the American Control Conference, vol. 2015-July, Institute of Electrical and Electronics Engineers Inc., pp. 359-364, 2015 American Control Conference, ACC 2015, Chicago, United States, 7/1/15. https://doi.org/10.1109/ACC.2015.7170762

    On confidentiality preserving monitoring of linear dynamic networks against inference attacks. / Zhu, Minghui; Lu, Yang.

    ACC 2015 - 2015 American Control Conference. Institute of Electrical and Electronics Engineers Inc., 2015. p. 359-364 7170762 (Proceedings of the American Control Conference; Vol. 2015-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Zhu M, Lu Y. On confidentiality preserving monitoring of linear dynamic networks against inference attacks. In ACC 2015 - 2015 American Control Conference. Institute of Electrical and Electronics Engineers Inc. 2015. p. 359-364. 7170762. (Proceedings of the American Control Conference). https://doi.org/10.1109/ACC.2015.7170762