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• W4313306878 abstract "Recently, it has been proposed to deal with fusion of multi-object densities exploiting the minimum information loss (MIL) rule, which has shown its superiority over generalized covariance intersection (GCI) fusion whenever sensor nodes have low detection probability. On the contrary, GCI shows better performance than MIL when dense clutter is involved in the measurements. In this paper, we are going to study the behavior of multi-object fusion with MIL and, respectively, GCI rules in the situation wherein the sensor network is exposed to cyber-attacks. Both theoretical and numerical analyses demonstrate that MIL is more robust than GCI fusion when the multi-sensor system is subject to a packet substitution attack." @default.
• W4313306878 created "2023-01-06" @default.
• W4313306878 creator A5002775930 @default.
• W4313306878 creator A5050723190 @default.
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• W4313306878 date "2022-11-21" @default.
• W4313306878 modified "2023-09-25" @default.
• W4313306878 title "Resilience of multi-object density fusion against cyber-attacks" @default.
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• W4313306878 doi "https://doi.org/10.1109/iccais56082.2022.9990117" @default.
• W4313306878 hasPublicationYear "2022" @default.
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