Privacy-Preserving Bidirectional Data Transmission of Smart Grid Via Semi-Quantum Computation: On Mutual Identity and Message Authentication

This paper is concerned with the privacy-preserving bidirectional electric power data transmission problem of the smart grid. A privacy-preserving bidirectional data transmission (BDT) protocol is developed over semi-quantum computation with aim to achieve bidirectional sensitive data flow between power suppliers and users. The minimal quantum cost is pursued under practical constraints while ensuring that power sensitive information is not leaked. To achieve the goal, a two-way data transmission protocol is first proposed that combines mutual identity authentication with message authentication for the benefits of enhanced security. Furthermore, for the preservation of privacy, a semi-quantum duplex communication approach is utilized, wherein the quantum state is randomly divided into two parts: teleportation and measurement qubits. The effectiveness of the privacy-preserving scheme against existing attack strategies is also rigorously analyzed. Lastly, simulation studies conducted on the IBM quantum cloud platform validate and underscore the superiority of the developed privacy-preserving BDT protocol.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Dependable and Secure Computing
Published
2025-05-09
DOI
https://doi.org/10.1109/tdsc.2025.3568707
Citations
6
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
14.89

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Privacy-Preserving Bidirectional Data Transmission of Smart Grid Via Semi-Quantum Computation: On Mutual Identity and Message Authentication

Jinjing Shi, Huiru Zan, Zidong Wang, Shichao Zhang et al.
6 citations
IEEE Transactions on Dependable and Secure Computing
Quantum Computing Algorithms and Architecture
14.89
article

Privacy-Preserving Bidirectional Data Transmission of Smart Grid Via Semi-Quantum Computation: On Mutual Identity and Message Authentication

Jinjing Shi, Huiru Zan, Zidong Wang, Shichao Zhang, Xiaoping Lou
article en
6 citations

Abstract

This paper is concerned with the privacy-preserving bidirectional electric power data transmission problem of the smart grid. A privacy-preserving bidirectional data transmission (BDT) protocol is developed over semi-quantum computation with aim to achieve bidirectional sensitive data flow between power suppliers and users. The minimal quantum cost is pursued under practical constraints while ensuring that power sensitive information is not leaked. To achieve the goal, a two-way data transmission protocol is first proposed that combines mutual identity authentication with message authentication for the benefits of enhanced security. Furthermore, for the preservation of privacy, a semi-quantum duplex communication approach is utilized, wherein the quantum state is randomly divided into two parts: teleportation and measurement qubits. The effectiveness of the privacy-preserving scheme against existing attack strategies is also rigorously analyzed. Lastly, simulation studies conducted on the IBM quantum cloud platform validate and underscore the superiority of the developed privacy-preserving BDT protocol.

IEEE Transactions on Dependable and Secure ComputingVol. 22(5)
Central South University (CN), Hunan Normal University (CN), Guangxi Normal University (CN), Changsha Normal University (CN), Brunel University of London (GB), Shandong University of Science and Technology (CN)
Alexander von Humboldt-Stiftung, European Commission, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 1%
Quantum Computing Algorithms and Architecture
14.89
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.