Single-Dimensional Encryption Against Stealthy Attacks on Stochastic Event-Based Estimation

  • Jun Shang
  • , Di Zhao
  • , Hanwen Zhang*
  • , Dawei Shi
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Dear Editor, This letter studies the problem of stealthy attacks targeting stochastic event-based estimation, alongside proposing measures for their mitigation. A general attack framework is introduced, and the corresponding stealthiness condition is analyzed. To enhance system security, we advocate for a single-dimensional encryption method, showing that securing a singular data element is sufficient to shield the system from the perils of stealthy attacks.

Original languageEnglish
Pages (from-to)233-235
Number of pages3
JournalIEEE/CAA Journal of Automatica Sinica
Volume13
Issue number1
DOIs
Publication statusPublished - 2026
Externally publishedYes

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