On Privacy of Quantized Sensor Measurements through Additive Noise

@article{Murguia2018OnPO,
  title={On Privacy of Quantized Sensor Measurements through Additive Noise},
  author={Carlos Murguia and Iman Shames and Farhad Farokhi and Dragan Nesic},
  journal={2018 IEEE Conference on Decision and Control (CDC)},
  year={2018},
  pages={2531-2536}
}
  • Carlos Murguia, Iman Shames, +1 author Dragan Nesic
  • Published 2018
  • Computer Science, Mathematics
  • 2018 IEEE Conference on Decision and Control (CDC)
  • We study the problem of maximizing privacy of quantized sensor measurements by adding random variables. In particular, we consider the setting where information about the state of a process is obtained using noisy sensor measurements. This information is quantized and sent to a remote station through an unsecured communication network. It is desired to keep the state of the process private; however, because the network is not secure, adversaries might have access to sensor information, which… CONTINUE READING

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