Blockchain-powered secure trading framework for power dispatch in metaverse

Power scheduling problem is a current research hotspot, and a meta-universe power trading operation system based on blockchain technology is proposed to address the problems of data silos, privacy leakage and low collaborative efficiency in traditional power scheduling system. By introducing homomorphic encryption, zero-knowledge proof and secure multi-party computing technology, it ensures the privacy protection of user data and realizes the safe aggregation and sharing of data. At the same time, Byzantine Fault Tolerance (PBFT) consensus mechanism is adopted to effectively resist the interference of potentially malicious nodes and safeguard the normal conduct of transactions and data security. In addition, by combining the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm with smart contracts, the automation and decision-making optimization of power scheduling is realized, which significantly improves the operational efficiency of the scheduling system. The innovative data management scheme combining non-homogenized tokens (NFT) and interplanetary file system (IPFS) provides a secure and efficient data storage and transmission environment for the power trading market, which strongly protects the privacy and security of market data. This complete blockchain collaboration system has a broad development prospect and great application value for enhancing the security and operational efficiency of the power system in the context of meta-universe.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-08-01
DOI
https://doi.org/10.1049/icp.2025.2434
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blockchain-powered secure trading framework for power dispatch in metaverse

Lingxu Guo, Jinbo Liu, Xu Li, Hailong Wang et al.
IET conference proceedings.
Blockchain Technology Applications and Security
article

Blockchain-powered secure trading framework for power dispatch in metaverse

Lingxu Guo, Jinbo Liu, Xu Li, Hailong Wang, Lei Wang, Chun He
article en

Abstract

Power scheduling problem is a current research hotspot, and a meta-universe power trading operation system based on blockchain technology is proposed to address the problems of data silos, privacy leakage and low collaborative efficiency in traditional power scheduling system. By introducing homomorphic encryption, zero-knowledge proof and secure multi-party computing technology, it ensures the privacy protection of user data and realizes the safe aggregation and sharing of data. At the same time, Byzantine Fault Tolerance (PBFT) consensus mechanism is adopted to effectively resist the interference of potentially malicious nodes and safeguard the normal conduct of transactions and data security. In addition, by combining the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm with smart contracts, the automation and decision-making optimization of power scheduling is realized, which significantly improves the operational efficiency of the scheduling system. The innovative data management scheme combining non-homogenized tokens (NFT) and interplanetary file system (IPFS) provides a secure and efficient data storage and transmission environment for the power trading market, which strongly protects the privacy and security of market data. This complete blockchain collaboration system has a broad development prospect and great application value for enhancing the security and operational efficiency of the power system in the context of meta-universe.

IET conference proceedings.Vol. 2025(13)
Sensimetrics Corporation (US), Tianjin Research Institute of Electric Science (China) (CN)
Openalex Percentile: Top 68%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Blockchain-powered secure trading framework for power dispatch in metaverse — Lingxu Guo, Jinbo Liu, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS