Resilient algorithm for distributed resource allocation under false data injection attacks

For a first‐order nonlinear multi‐agent system who is subject to false data injection (FDI) attacks on agents' actuators and sensors, agents execute a distributed resource allocation algorithm according to the compromised control inputs and interactive information such that the multi‐agent syst...

Full description

Saved in:
Bibliographic Details
Published in:Asian journal of control Vol. 26; no. 4; pp. 1635 - 1645
Main Authors: Chen, Xingzhi, Cai, Xin, Gao, Bingpeng, Nan, Xinyuan
Format: Journal Article
Language:English
Published: Hoboken Wiley Subscription Services, Inc 01.07.2024
Subjects:
Actuators
Algorithms
Decisions
distributed algorithm
false data injection attacks
Feedback control
Interactive control
Interactive systems
Nonlinear control
nonlinear dynamics
resilient algorithm
Resource allocation
State observers
ISSN:1561-8625, 1934-6093
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:For a first‐order nonlinear multi‐agent system who is subject to false data injection (FDI) attacks on agents' actuators and sensors, agents execute a distributed resource allocation algorithm according to the compromised control inputs and interactive information such that the multi‐agent system is unstable and agents' decisions deviate from the optimal resource allocation. At first, we analyze the robustness of the distributed resource allocation algorithm under the FDI attacks. Then, a resilient distributed algorithm is proposed to solve the distributed resource allocation problem by resisting the adverse effect of the attacks. In detail, the unknown nonlinear term and the false data injected in agents are considered as extended states that can be estimated by extended state observers. The estimation is used in the feedback control to suppress the effect of the FDI attacks. As a result, the designed resilient algorithm ensures that agents' decisions converge to the optimal allocation without requiring any information about the nature of the attacks. An example is given to illustrate the results.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1561-8625
1934-6093
DOI:10.1002/asjc.3440