MURAL - Maynooth University Research Archive Library



    Fake-Acknowledgment Attack on ACK-based Sensor Power Schedule for Remote State Estimation


    Li, Yuzhe and Quevedo, Daniel E. and Dey, Subhrakanti and Shi, Ling (2015) Fake-Acknowledgment Attack on ACK-based Sensor Power Schedule for Remote State Estimation. In: 2015 54th IEEE Conference on Decision and Control (CDC). IEEE, pp. 5795-5800. ISBN 978-1-4799-7886-1

    [img]
    Preview
    Download (567kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    We consider a class of malicious attacks against remote state estimation. A sensor with limited resources adopts an acknowledgement (ACK)-based online power schedule to improve the remote state estimation performance. A malicious attacker can modify the ACKs from the remote estimator and convey fake information to the sensor. When the capability of the attacker is limited, we propose an attack strategy for the attacker and analyze the corresponding effect on the estimation performance. The possible responses of the sensor are studied and a condition for the sensor to discard ACKs and switch from online schedule to offline schedule is provided.

    Item Type: Book Section
    Additional Information: Cite as: Y. Li, D. E. Quevedo, S. Dey and L. Shi, "Fake-acknowledgment attack on ACK-based sensor power schedule for remote state estimation," 2015 54th IEEE Conference on Decision and Control (CDC), 2015, pp. 5795-5800, doi: 10.1109/CDC.2015.7403130.
    Keywords: Fake Acknowledgment Attack; ACK-based; Sensor Power Schedule; Remote State Estimation;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14536
    Identification Number: https://doi.org/10.1109/CDC.2015.7403130
    Depositing User: Subhrakanti Dey
    Date Deposited: 15 Jun 2021 14:13
    Publisher: IEEE
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads