A Novel Approach Based on Machine Learning, Blockchain, and Decision Process for Securing Smart Grid
Smart Grids (SGs) rely on advanced technologies, generating significant data traffic across the network, which plays a crucial role in various tasks such as electricity consumption billing, actuator activation, resource optimization, and network monitoring. This paper presents a new approach that in...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10445213/ |
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| author | Nabil Tazi Chibi Omar Ait Oualhaj Wassim Fassi Fihri Hassan El Ghazi |
| author_facet | Nabil Tazi Chibi Omar Ait Oualhaj Wassim Fassi Fihri Hassan El Ghazi |
| author_sort | Nabil Tazi Chibi |
| collection | DOAJ |
| description | Smart Grids (SGs) rely on advanced technologies, generating significant data traffic across the network, which plays a crucial role in various tasks such as electricity consumption billing, actuator activation, resource optimization, and network monitoring. This paper presents a new approach that integrates Machine Learning (ML), Blockchain Technology (BT), and Markov Decision Process (MDP) to improve the security of SG networks while ensuring accurate storage of events reported by various network devices through BT. The enhanced version of the Proof of Work (PoW) consensus mechanism ensures data integrity by preventing tampering and establishing the reliability of known and unknown attack detection. The proposed versions of PoW, namely GPoW 1.0 and GPoW 2.0, aim to make the consensus process more environmentally friendly. |
| format | Article |
| id | doaj-art-5d774f61f86c42ca86b084a964124f1b |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-5d774f61f86c42ca86b084a964124f1b2025-01-14T00:00:56ZengIEEEIEEE Access2169-35362024-01-0112331903319910.1109/ACCESS.2024.337023910445213A Novel Approach Based on Machine Learning, Blockchain, and Decision Process for Securing Smart GridNabil Tazi Chibi0https://orcid.org/0009-0003-1902-1506Omar Ait Oualhaj1Wassim Fassi Fihri2https://orcid.org/0000-0003-4348-0609Hassan El Ghazi3STRS Laboratory, National Institute of Posts and Telecommunications, Rabat, MoroccoSTRS Laboratory, National Institute of Posts and Telecommunications, Rabat, MoroccoSTRS Laboratory, National Institute of Posts and Telecommunications, Rabat, MoroccoSTRS Laboratory, National Institute of Posts and Telecommunications, Rabat, MoroccoSmart Grids (SGs) rely on advanced technologies, generating significant data traffic across the network, which plays a crucial role in various tasks such as electricity consumption billing, actuator activation, resource optimization, and network monitoring. This paper presents a new approach that integrates Machine Learning (ML), Blockchain Technology (BT), and Markov Decision Process (MDP) to improve the security of SG networks while ensuring accurate storage of events reported by various network devices through BT. The enhanced version of the Proof of Work (PoW) consensus mechanism ensures data integrity by preventing tampering and establishing the reliability of known and unknown attack detection. The proposed versions of PoW, namely GPoW 1.0 and GPoW 2.0, aim to make the consensus process more environmentally friendly.https://ieeexplore.ieee.org/document/10445213/Smart gridcybersecurityNISTvulnerabilitiesMarkov decision processblockcahin |
| spellingShingle | Nabil Tazi Chibi Omar Ait Oualhaj Wassim Fassi Fihri Hassan El Ghazi A Novel Approach Based on Machine Learning, Blockchain, and Decision Process for Securing Smart Grid IEEE Access Smart grid cybersecurity NIST vulnerabilities Markov decision process blockcahin |
| title | A Novel Approach Based on Machine Learning, Blockchain, and Decision Process for Securing Smart Grid |
| title_full | A Novel Approach Based on Machine Learning, Blockchain, and Decision Process for Securing Smart Grid |
| title_fullStr | A Novel Approach Based on Machine Learning, Blockchain, and Decision Process for Securing Smart Grid |
| title_full_unstemmed | A Novel Approach Based on Machine Learning, Blockchain, and Decision Process for Securing Smart Grid |
| title_short | A Novel Approach Based on Machine Learning, Blockchain, and Decision Process for Securing Smart Grid |
| title_sort | novel approach based on machine learning blockchain and decision process for securing smart grid |
| topic | Smart grid cybersecurity NIST vulnerabilities Markov decision process blockcahin |
| url | https://ieeexplore.ieee.org/document/10445213/ |
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