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

Jun Shang; Di Zhao; Hanwen Zhang; Dawei Shi

doi:10.1109/JAS.2025.125381

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

Jun Shang
, Di Zhao
, Hanwen Zhang^*
, Dawei Shi

^*Corresponding author for this work

Tongji University
Nanjing University
Ministry of Education in China
University of Science and Technology Beijing
Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	233-235
Number of pages	3
Journal	IEEE/CAA Journal of Automatica Sinica
Volume	13
Issue number	1
DOIs	https://doi.org/10.1109/JAS.2025.125381
Publication status	Published - 2026
Externally published	Yes

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10.1109/JAS.2025.125381

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title = "Single-Dimensional Encryption Against Stealthy Attacks on Stochastic Event-Based Estimation",

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.",

author = "Jun Shang and Di Zhao and Hanwen Zhang and Dawei Shi",

note = "Publisher Copyright: {\textcopyright} 2014 Chinese Association of Automation.",

year = "2026",

doi = "10.1109/JAS.2025.125381",

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AU - Shang, Jun

AU - Zhao, Di

AU - Zhang, Hanwen

AU - Shi, Dawei

PY - 2026

Y1 - 2026

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/105029683978

U2 - 10.1109/JAS.2025.125381

DO - 10.1109/JAS.2025.125381

M3 - Article

AN - SCOPUS:105029683978

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JO - IEEE/CAA Journal of Automatica Sinica

JF - IEEE/CAA Journal of Automatica Sinica

IS - 1

ER -

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

Abstract

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