Moving-horizon false data injection attack design against cyber–physical systems

Zheng, Yu; Mudhangulla, Sridhar Babu; Anubi, Olugbenga Moses

doi:10.1016/j.conengprac.2023.105552

Moving-horizon false data injection attack design against cyber–physical systems

Journal Article · Thu May 04 00:00:00 EDT 2023 · Control Engineering Practice

DOI:https://doi.org/10.1016/j.conengprac.2023.105552· OSTI ID:2417650

^[1]; ^[2]; Anubi, Olugbenga Moses ^[2]

Florida State Univ., Tallahassee, FL (United States); OSTI
Florida State Univ., Tallahassee, FL (United States)

Systematic attack design is essential to understanding the vulnerabilities of cyber–physical systems (CPSs), to better design for resiliency. In particular, false data injection attacks (FDIAs) are well-known and have been shown to be capable of bypassing bad data detection (BDD) while causing targeted biases in resulting state estimates. However, their effectiveness against moving horizon estimators (MHE) is not well understood. In fact, this paper shows that conventional FDIAs are generally ineffective against MHE. One of the main reasons is that the moving window renders the static FDIA recursively infeasible. Here, this paper proposes a new attack methodology, moving-horizon FDIA (MH-FDIA), by considering both the performance of historical attacks and the current system’s status. Theoretical guarantees for successful attack generation and recursive feasibility are given. Numerical simulations on the IEEE-14 bus system further validate the theoretical claims and show that the proposed MH-FDIA outperforms state-of-the-art counterparts in both stealthiness and effectiveness. In addition, an experiment on a path-tracking control system of an autonomous vehicle shows the feasibility of the MH-FDIA in real-world nonlinear systems.

View Accepted Manuscript (DOE)

Research Organization:: General Electric Co., Boston, MA (United States)

Sponsoring Organization:: USDOE; Defense Advanced Research Projects Agency (DARPA)

Grant/Contract Number:: CR0000005

OSTI ID:: 2417650

Alternate ID(s):: OSTI ID: 1972749

Journal Information:: Control Engineering Practice, Journal Name: Control Engineering Practice Journal Issue: C Vol. 136; ISSN 0967-0661

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Related Subjects

42 ENGINEERING
97 MATHEMATICS AND COMPUTING
Automation & Control Systems
Bad data detection
Cyber–physical system
Engineering
False data injection attack
Moving-horizon estimation

Moving-horizon false data injection attack design against cyber–physical systems

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References (14)

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