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Related Experiment Video

Updated: Aug 19, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Structural consensus in networks with directed topologies and its cryptographic implementation.

Wentuo Fang¹, Zhiyong Chen², Mohsen Zamani³

¹School of Automation, Central South University, Changsha, Hunan 410083, China; School of Engineering, The University of Newcastle, Callaghan, NSW 2308, Australia.

ISA Transactions

|November 29, 2022

Summary

This study introduces a novel privacy-preserving algorithm for networked systems with directed topologies, enabling confidential consensus. The method ensures data security against eavesdroppers and malicious nodes, overcoming limitations of existing approaches.

Keywords:

Consensus Multi-agent systems Paillier encryption Privacy preserving Secure control

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Area of Science:

Computer Science
Network Security
Cryptography

Background:

Existing privacy-preserving consensus algorithms are limited to undirected network topologies.
Confidential consensus in directed network systems remains a significant challenge.

Purpose of the Study:

To propose a new privacy-preserving algorithm for confidential consensus in networked systems with directed topologies.
To address the limitations of current methods in handling directed network structures.

Main Methods:

Formulation of a structural consensus problem for directed topologies.
Design and analysis of an explicitly constructed controller.
Implementation of the controller using encryption for privacy preservation.

Main Results:

Demonstration of solvability conditions for the structural consensus problem.
Successful implementation of a privacy-preserving algorithm for directed networks.
Prevention of information leakage to external and internal malicious entities.

Conclusions:

The proposed algorithm effectively achieves confidential consensus in directed networked systems.
The approach enhances privacy and security in networked systems previously unaddressed by existing methods.
This work provides a foundation for secure consensus mechanisms in complex network structures.