False information detection with minimum mean squared errors for Bayesian estimation

@article{Niu2015FalseID,
  title={False information detection with minimum mean squared errors for Bayesian estimation},
  author={Ruixin Niu and Jingyang Lu},
  journal={2015 49th Annual Conference on Information Sciences and Systems (CISS)},
  year={2015},
  pages={1-6}
}
In this paper, for a Bayesian estimator whose sensors could be attacked by false information injected by an adversary, we investigate the strategies for the Bayesian estimator to detect the false information and defend itself from such attacks. We assume that the adversary attacks the system with certain probability, and that he/she adopts the worst possible strategy which maximizes the mean squared error (MSE) if the attack is undetected. The defender's goal is to minimize the average system… CONTINUE READING

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