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Social learning for resilient data fusion against data falsification attacks

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Academic year: 2020

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Figure

Table 1 Table of correspondances between distributed detection in sensor networks and social learning in social networks
Fig. 1 Top: probability distribution for a digital sensor of m = 16 levels, conditioned on the events {W = 0}and {W = 1}
Fig. 2 Performance for the inference of each node for various attack intensities, given by the average ratio of
Fig. 3  Effect of the sensor dynamical range over the network resilience
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