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Title: Resilient Distributed Estimation: Sensor Attacks

Abstract

Here, this paper studies multi-agent distributed estimation under sensor attacks. Individual agents make sensor measurements of an unknown parameter belonging to a compact set, and, at every time step, a fraction of the agents’ sensor measurements may fall under attack and take arbitrary values. We present the Saturated Innovation Update (SIU) algorithm for distributed estimation resilient to sensor attacks. Under the iterative SIU algorithm, if less than one half of the agent sensors fall under attack, then, all of the agents’ estimates converge at a polynomial rate (with respect to the number of iterations) to the true parameter. The resilience of SIU to sensor attacks does not depend on the topology of the inter-agent communication network, as long as it remains connected. We demonstrate the performance of SIU with numerical examples.

Authors:
 [1];  [1];  [1]
  1. Carnegie Mellon Univ., Pittsburgh, PA (United States)
Publication Date:
Research Org.:
Carnegie Mellon Univ., Pittsburgh, PA (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
OSTI Identifier:
1433647
Grant/Contract Number:  
OE0000779
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Automatic Control
Additional Journal Information:
Journal Name: IEEE Transactions on Automatic Control; Journal ID: ISSN 0018-9286
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; Distributed Estimation; Security; Fault Tolerant Systems; Sensor Networks; Consensus + Innovations

Citation Formats

Chen, Yuan, Kar, Soummya, and Moura, Jose M. F. Resilient Distributed Estimation: Sensor Attacks. United States: N. p., 2018. Web. doi:10.1109/TAC.2018.2882168.
Chen, Yuan, Kar, Soummya, & Moura, Jose M. F. Resilient Distributed Estimation: Sensor Attacks. United States. doi:10.1109/TAC.2018.2882168.
Chen, Yuan, Kar, Soummya, and Moura, Jose M. F. Mon . "Resilient Distributed Estimation: Sensor Attacks". United States. doi:10.1109/TAC.2018.2882168. https://www.osti.gov/servlets/purl/1433647.
@article{osti_1433647,
title = {Resilient Distributed Estimation: Sensor Attacks},
author = {Chen, Yuan and Kar, Soummya and Moura, Jose M. F.},
abstractNote = {Here, this paper studies multi-agent distributed estimation under sensor attacks. Individual agents make sensor measurements of an unknown parameter belonging to a compact set, and, at every time step, a fraction of the agents’ sensor measurements may fall under attack and take arbitrary values. We present the Saturated Innovation Update (SIU) algorithm for distributed estimation resilient to sensor attacks. Under the iterative SIU algorithm, if less than one half of the agent sensors fall under attack, then, all of the agents’ estimates converge at a polynomial rate (with respect to the number of iterations) to the true parameter. The resilience of SIU to sensor attacks does not depend on the topology of the inter-agent communication network, as long as it remains connected. We demonstrate the performance of SIU with numerical examples.},
doi = {10.1109/TAC.2018.2882168},
journal = {IEEE Transactions on Automatic Control},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {11}
}

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Cited by: 1 work
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