Distributed trust-based unscented Kalman filter for non-linear state estimation under cyber-attacks: The application of manoeuvring target tracking over wireless sensor networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F21%3A43962509" target="_blank" >RIV/49777513:23220/21:43962509 - isvavai.cz</a>

Result on the web

<a href="https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/cth2.12173" target="_blank" >https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/cth2.12173</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1049/cth2.12173" target="_blank" >10.1049/cth2.12173</a>

Result language

angličtina

Original language name

Distributed trust-based unscented Kalman filter for non-linear state estimation under cyber-attacks: The application of manoeuvring target tracking over wireless sensor networks

Original language description

This paper is concerned with secure state estimation of non-linear systems under malicious cyber-attacks. The application of target tracking over a wireless sensor network is investigated. The existence of rotational manoeuvre in the target movement introduces non-linear behaviour in the dynamic model of the system. Moreover, in wireless sensor networks under cyber-attacks, erroneous information is spread in the whole network by imperilling some nodes and consequently their neighbours. Thus, they can deteriorate the performance of tracking. Despite the development of target tracking techniques in wireless sensor networks, the problem of rotational manoeuvring target tracking under cyberattacks is still challenging. To deal with the model non-linearity due to target rotational manoeuvres, an unscented Kalman filter is employed to estimate the target state variables consisting of the position and velocity. A diffusion-based distributed unscented Kalman filtering combined with a trust-based scheme is applied to ensure robustness against the cyber-attacks in manoeuvring target tracking applications over a wireless sensor network with secured nodes. Simulation results demonstrate the effectiveness of the proposed strategy in terms of tracking accuracy, while random attacks, false data injection attacks, and replay attacks are considered.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20201 - Electrical and electronic engineering

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IET Control Theory and Applications

ISSN

1751-8644

e-ISSN

—

Volume of the periodical

15

Issue of the periodical within the volume

15

Country of publishing house

US - UNITED STATES

Number of pages

12

Pages from-to

1987-1998

UT code for WoS article

000680942300001

EID of the result in the Scopus database

2-s2.0-85111769180