Secure distributed estimation of linear systems
2017 (English)In: 2016 IEEE Conference on Communications and Network Security, CNS 2016, Institute of Electrical and Electronics Engineers Inc. , 2017, p. 616-620Conference paper, Published paper (Refereed)
Abstract [en]
A two-dimensional linear time-invariant system is considered. The two dimensions of its states are observed by one sensor each. Every sensor quantizes its observations into a finite number of messages, using also the other sensor's past decisions. The combined sensor outputs should allow for a bounded estimation error (reliability). For a natural quantizer, we identify the cases where a price in the quantizer sum rate has to be paid for the fact that observations are distributed. At the same time, an eavesdropper should not be able to track the system state (security). Using the same quantizer as before, security is shown to be possible if the eavesdropper has less information than the estimator in that it for each sensor message pair obtains a larger set of indistinguishable message pairs.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2017. p. 616-620
Keywords [en]
Estimation, Invariance, Linear systems, Time varying control systems, Bounded estimation error, Combined sensors, Distributed estimation, Finite number, Linear time invariant systems, Message pairs, System state, Two-dimension, Network security
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-208001DOI: 10.1109/CNS.2016.7860559ISI: 000402623000095Scopus ID: 2-s2.0-85016060207ISBN: 9781509030651 (print)OAI: oai:DiVA.org:kth-208001DiVA, id: diva2:1106844
Conference
2016 IEEE Conference on Communications and Network Security, CNS 2016, 17 October 2016 through 19 October 2016
Note
QC 2017-06-08
2017-06-082017-06-082022-06-27Bibliographically approved