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一种用于智能电网的混合人工智能-区块链安全框架。

A hybrid AI-Blockchain security framework for smart grids.

作者信息

Ghadi Yazeed Yasin, Mazhar Tehseen, Shahzad Tariq, Jaghdam Ines Hilali, Khan Sanwar, Khan Muhammad Amir, Hamam Habib

机构信息

Department of Computer Science and Software Engineering, Al Ain University, Abu Dhabi, 12555, United Arab Emirates.

School of Computer Science, National College of Business Administration and Economics, Lahore, 54000, Pakistan.

出版信息

Sci Rep. 2025 Jul 1;15(1):20882. doi: 10.1038/s41598-025-05257-w.

DOI:10.1038/s41598-025-05257-w
PMID:40594089
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12217142/
Abstract

This study delves into the vulnerability of the smart grid to infiltration by hackers and proposes methods to safeguard it by leveraging blockchain and artificial intelligence (AI). A categorization and analysis of cyberattacks against smart grids will be conducted, focusing on those targeting their communication layers. The main goal of the work is to address the challenges in this area by implementing novel detection and defense strategies. The authors categorize attacks on smart grid networks based on the communication classes they want to compromise. They propose novel taxonomies specifically designed to detect and implement defense strategies. The study investigates artificial intelligence and blockchain techniques to identify cyber-attacks that employ deceptive data injection. The study indicates that cyberattacks against smart grids are increasing in frequency and complexity. The paper proposes innovative strategies for defense, such as enhancing cybersecurity with artificial intelligence and blockchain technology. The research further enumerates several challenges, such as counterfeit topological data, imprecise data identification, and combining big data with blockchain technology. Given the increasing risks, the study emphasizes the crucial need for robust cybersecurity safeguards in smart grids. This work contributes to the protection of smart grid infrastructures by categorizing attacks, suggesting novel defenses, and exploring solutions integrating artificial intelligence and blockchain technology. Research should prioritize enhancing technology to maximize security and counter emerging attack methods. The intended audience of our paper comprises graduate-level academics and independent researchers.

摘要

本研究深入探讨了智能电网对黑客渗透的脆弱性，并提出了利用区块链和人工智能（AI）对其进行保护的方法。将对针对智能电网的网络攻击进行分类和分析，重点关注针对其通信层的攻击。这项工作的主要目标是通过实施新颖的检测和防御策略来应对该领域的挑战。作者根据他们想要攻破的通信类别对智能电网网络攻击进行分类。他们提出了专门设计用于检测和实施防御策略的新颖分类法。该研究调查了人工智能和区块链技术，以识别采用欺骗性数据注入的网络攻击。研究表明，针对智能电网的网络攻击在频率和复杂性上都在增加。本文提出了创新的防御策略，例如利用人工智能和区块链技术加强网络安全。该研究进一步列举了几个挑战，如伪造拓扑数据、不精确的数据识别以及将大数据与区块链技术相结合。鉴于风险不断增加，该研究强调了智能电网中强大的网络安全保障的迫切需求。这项工作通过对攻击进行分类、提出新颖的防御措施以及探索整合人工智能和区块链技术的解决方案，为保护智能电网基础设施做出了贡献。研究应优先加强技术，以实现最大程度的安全并应对新出现的攻击方法。我们论文的目标受众包括研究生水平的学者和独立研究人员。

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