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Induced attack with prescribed consensus trajectory against multiagent systems.

Junlong Li1, Le Wang2, Jianxiang Xi3

  • 1Department of Physics, Lüliang University, Lüliang, 033000, PR China; High-Tech Institute of Xi'an, Xi'an, 710025, PR China.

ISA Transactions
|January 19, 2024
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel induced attack strategy for multiagent systems. This attack compels the entire system to follow a specific trajectory, unlike denial-of-service or deception attacks.

Keywords:
Attack generation exosystemInduced attackMultiagent systemPrescribed consensus trajectory

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Area of Science:

  • Control Theory
  • Cybersecurity
  • Robotics

Background:

  • Multiagent systems (MAS) are susceptible to various attacks.
  • Existing attacks like denial-of-service or deception attacks have limitations in controlling system-wide behavior.
  • A new attack paradigm is needed to precisely dictate MAS trajectories.

Purpose of the Study:

  • To propose a novel induced attack strategy for multiagent systems.
  • To enable an attacker to prescribe a specific trajectory for the entire MAS.
  • To develop a method for generating and implementing such an attack.

Main Methods:

  • An attack generation exosystem is established to create the induced attack signal.
  • A new induced attack protocol is designed using local state information and the attack signal.
  • The robust H∞ scheme is employed to design the attack generation exosystem dynamics.

Main Results:

  • An explicit expression for the prescribed consensus trajectory is derived.
  • The induced attack successfully drives the MAS to follow the attacker's desired trajectory.
  • The H∞ design criterion ensures the effectiveness of the attack strategy.

Conclusions:

  • The proposed induced attack strategy is effective in controlling the global behavior of multiagent systems.
  • This attack offers a new capability beyond traditional denial-of-service or deception attacks.
  • The theoretical results are validated through simulation examples.