Simultaneous distributed estimation and attack detection/isolation in social networks: Structural observability, kronecker-product network, and chi-square detector
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A4 Artikkeli konferenssijulkaisussa
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Date
2021-10-06
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en
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5
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Proceedings of IEEE International Conference on Autonomous Systems, ICAS 2021
Abstract
This paper considers distributed estimation of linear systems when the state observations are corrupted with Gaussian noise of unbounded support and under possible random adversarial attacks. We consider sensors equipped with single time-scale estimators and local chi-square $(\chi^{2})$ detectors to simultaneously observe the states, share information, fuse the noise/attack-corrupted data locally, and detect possible anomalies in their own observations. While this scheme is applicable to a wide variety of systems associated with full-rank (invertible) matrices, we discuss it within the context of distributed inference in social networks. The proposed technique outperforms existing results in the sense that: (i) we consider Gaussian noise with no simplifying upper-bound assumption on the support; (ii) all existing $\chi^{2}$-based techniques are centralized while our proposed technique is distributed, where the sensors locally detect attacks, with no central coordinator, using specific probabilistic thresholds; and (iii) no local-observability assumption at a sensor is made, which makes our method feasible for large-scale social networks. Moreover, we consider a Linear Matrix Inequalities (LMI) approach to design block-diagonal gain (estimator) matrices under appropriate constraints for isolating the attacks.Description
Funding Information: This work has been supported by the European Commission through the H2020 project FinEst Twins under grant agreement No 856602. The work of U. Khan was supported by NSF under awards #1903972 and #1935555. The work of T. Charalambous was supported by the Academy of Finland under Grant 317726. Corresponding email: doost@semnan.ac.ir, mohammadreza.doostmohammadian@aalto.fi. Publisher Copyright: © 2021 IEEE. | openaire: EC/H2020/856602/EU//FINEST TWINS
Keywords
Attack detection and isolation, Distributed estimation, Kronecker-product network, X2-test
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Doostmohammadiany, M, Charalambous, T, Shafie-khah, M, Meskin, N & Khan, U A 2021, Simultaneous distributed estimation and attack detection/isolation in social networks : Structural observability, kronecker-product network, and chi-square detector . in Proceedings of IEEE International Conference on Autonomous Systems, ICAS 2021 . IEEE, IEEE International Conference on Autonomous Systems, Montreal, Canada, 11/08/2021 . https://doi.org/10.1109/ICAS49788.2021.9551162