Evidence map›Paper›PMID 39747539›Full record

ArticleScientific reports2025

Enhancing IoT security in smart grids with quantum-resistant hybrid encryption.

Jian Xiong, Lu Shen, Yan Liu, Xiaofen Fang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jian XiongShenzhen Audencia Financial Technology Institute, Shenzhen University, Shenzhen, 518057, Guangdong, China.
Lu ShenFaculty of Applied Sciences, Macao Polytechnic University, Macao, 999078, Special Administrative Region, China.
Yan LiuSchool of Finance and Economics, Shenzhen Institute of Information Technology, Shenzhen, 518172, China. 2016000074@sziit.edu.cn.
Xiaofen FangFaculty of Mechanical and Electrical Engineering, Quzhou College of Technology, Quzhou, 324000, Zhejiang, China. fangxiaofen@ieee.org.

Funding

Guangdong Provincial Education Science Planning Project 2022GXJK588Guangdong Provincial Philosophy and Social Science Planning Project GD23XGL034Quzhou Science and Technology Key Research Project: Research on intelligent detection methods for electromagnetic interference attacks in industrial IoT 2023K252
6 · The paper itself

Abstract

Integrating the Internet of Things (IoT) in smart grids has revolutionized the energy sector, enabling real-time data collection and efficient energy distribution. However, this integration also introduces significant security challenges, particularly data encryption. Traditional encryption algorithms used in IoT are vulnerable to various attacks, and the advent of quantum computing exacerbates these vulnerabilities. To address the above challenges, this paper proposes a novel encryption mechanism, the Quantum-Resistant Hybrid Encryption for IoT (QRHE-IoT), designed to enhance the security of communications in IoT-enabled smart grids. QRHE-IoT combines the strengths of symmetric and asymmetric encryption algorithms and incorporates quantum-resistant algorithms to provide robust security. This paper explains the QRHE-IoT mechanism, its theoretical basis, and how it addresses the security challenges in smart grid communications. It also presents the results of tests conducted to evaluate the effectiveness of QRHE-IoT in a simulated smart grid environment. The proposed QRHE-IoT mechanism presents a promising solution to these challenges, offering robust security for smart grid communications in the face of emerging threats, including quantum computing.

Identifiers

PMID39747539
PMCPMC11696084

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.