12 citations · 15 across the 10 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
eess.SY2022★ 12 cited
Innovation-Based Remote State Estimation Secrecy with no Acknowledgments
Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo +1
Secrecy encoding for remote state estimation in the presence of adversarial eavesdroppers is a well studied problem. Typical existing secrecy encoding schemes rely on the transmitt…
eess.SY2022★ 3 cited
Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation
Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo
For geographically separated cyber-physical systems, state estimation at a remote monitoring or control site is important to ensure stability and reliability of the system. Often f…