Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Dec 28, 2025

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Data-Driven False Data-Injection Attack Design and Detection in Cyber-Physical Systems.

Zhengen Zhao, Yimin Huang, Ziyang Zhen

IEEE Transactions on Cybernetics

|February 23, 2020

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Mechanistic insights into cellular deformation enable enhanced extensional-flow cytometry for label-free classification and sorting.

Microsystems & nanoengineering·2026

Same author

Activated Macrophages Promote TNF-α-Associated Tumor Cell Necroptosis in Pituitary Apoplexy Through the PIEZO1-NFATC2/REL Axis.

International journal of molecular sciences·2026

Same author

Calcium peroxide nanoplatform-mediated cancer immunotherapy enhancement: current advances and perspective.

PeerJ·2026

Same author

Enhanced Ni Exsolution in High-Entropy Perovskite Oxides with Broadening of Migration-Reduction Energy Landscapes.

Nano letters·2026

Same author

Single-cell and spatial analyses reveal endothelial-macrophage inflammatory crosstalk in dry age-related macular degeneration.

Journal of translational medicine·2026

Same author

Effects of caffeine gum on same-day and subsequent neuromuscular performance under a standardized resistance-priming condition in male basketball players.

Journal of the International Society of Sports Nutrition·2026

Same journal

An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models.

IEEE transactions on cybernetics·2026

Same journal

A Quantum Self-Attention Neural Network Model on Quantum Circuits.

IEEE transactions on cybernetics·2026

Same journal

Semi-Explicit Solution of Some Discrete-Time Higher-Order-Cost Mean-Field-Type Control.

IEEE transactions on cybernetics·2026

Same journal

A Novel One-Step Small Object Detector for Autonomous Aerial Vehicles.

IEEE transactions on cybernetics·2026

Same journal

Online Data-Driven-Based Optimal Output Tracking Control Without Initial Stabilizing Policy.

IEEE transactions on cybernetics·2026

Same journal

Digital Redesign-Based Interval State Estimation for Continuous Systems With Aperiodic Discrete Measurements.

IEEE transactions on cybernetics·2026

See all related articles

This study introduces a data-driven method for creating undetectable false data-injection attacks on cyber-physical systems. The research also explores methods for detecting these sophisticated cyber attacks using coding theory.

Area of Science:

Cyber-Physical Systems Security
Data-Driven Attack Design
Network Security

Background:

Cyber-physical systems (CPS) are increasingly vulnerable to sophisticated cyber attacks.
False data-injection (FDI) attacks pose a significant threat to CPS integrity and safety.
Existing FDI attack designs often lack undetectability and consider limited constraints.

Purpose of the Study:

To propose a data-driven design scheme for undetectable FDI attacks against CPS.
To evaluate the impact of these attacks considering undetectability and energy constraints.
To investigate methods for detecting data-driven FDI attacks using coding theory.

Main Methods:

Subspace identification technique for attack design.
Constrained optimization for impact evaluation.

More Related Videos

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Related Experiment Videos

Last Updated: Dec 28, 2025

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Coding theory for attack detection.

Main Results:

A novel data-driven scheme for designing undetectable FDI attacks was developed.
The impacts of FDI attacks were quantified under realistic constraints.
Effective detection strategies for designed FDI attacks were demonstrated through simulations.

Conclusions:

The proposed data-driven approach enables the design of sophisticated and undetectable FDI attacks.
The study highlights the importance of considering energy limitations and undetectability in attack impact assessments.
Coding theory provides a viable approach for detecting advanced FDI attacks in CPS.