Blockchain-enabled distributed learning for enhanced smart grid security and efficiency
<p>This study introduces a secure, adaptable, and decentralized learning framework empowered by blockchain technology to enhance smart grid security and efficiency. Security is achieved through blockchain’s ledger, ensuring data integrity, privacy, and resilience. Adaptability refers to the fr...
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2024
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| _version_ | 1864513552635658240 |
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| author | Alaa Awad Abdellatif (17151163) |
| author2 | Khaled Shaban (20074425) Ahmed Massoud (16875996) |
| author2_role | author author |
| author_facet | Alaa Awad Abdellatif (17151163) Khaled Shaban (20074425) Ahmed Massoud (16875996) |
| author_role | author |
| dc.creator.none.fl_str_mv | Alaa Awad Abdellatif (17151163) Khaled Shaban (20074425) Ahmed Massoud (16875996) |
| dc.date.none.fl_str_mv | 2024-12-21T18:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.compeleceng.2024.110012 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Blockchain-enabled_distributed_learning_for_enhanced_smart_grid_security_and_efficiency/28112975 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Artificial intelligence Cybersecurity and privacy Distributed learning Blockchain Microgrid Sidechains Federated learning |
| dc.title.none.fl_str_mv | Blockchain-enabled distributed learning for enhanced smart grid security and efficiency |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>This study introduces a secure, adaptable, and decentralized learning framework empowered by blockchain technology to enhance smart grid security and efficiency. Security is achieved through blockchain’s ledger, ensuring data integrity, privacy, and resilience. Adaptability refers to the framework’s ability to adjust to changing conditions, supporting multiple learning paradigms. Decentralization enhances fault tolerance by distributing control across nodes. Our framework excels in scalability, data-exchange security, and rapid response times, aiming to establish an intelligent blockchain-based smart grid supporting centralized learning (CL), federated learning (FL), and active federated learning (AFL). We present an innovative blockchain-based architecture customized to optimize information sharing and security within the blockchain. Our solution addresses various learning paradigm requirements by: (i) Selecting reliable entities for participation based on high-quality training data models; (ii) Acquiring a reliable subset of data for CL and AFL, balancing learning performance, latency, and cost; (iii) Adjusting blockchain configuration to align with specific learning paradigm requirements. Results from real-world datasets demonstrate superior performance compared to existing solutions. Our framework achieves high learning performance while minimizing latency and blockchain costs.</p><h2>Other Information</h2> <p> Published in: Computers and Electrical Engineering<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.compeleceng.2024.110012" target="_blank">https://dx.doi.org/10.1016/j.compeleceng.2024.110012</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_efc239e6db728ae3d7f9842c2545bb5e |
| identifier_str_mv | 10.1016/j.compeleceng.2024.110012 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/28112975 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Blockchain-enabled distributed learning for enhanced smart grid security and efficiencyAlaa Awad Abdellatif (17151163)Khaled Shaban (20074425)Ahmed Massoud (16875996)Information and computing sciencesArtificial intelligenceCybersecurity and privacyDistributed learningBlockchainMicrogridSidechainsFederated learning<p>This study introduces a secure, adaptable, and decentralized learning framework empowered by blockchain technology to enhance smart grid security and efficiency. Security is achieved through blockchain’s ledger, ensuring data integrity, privacy, and resilience. Adaptability refers to the framework’s ability to adjust to changing conditions, supporting multiple learning paradigms. Decentralization enhances fault tolerance by distributing control across nodes. Our framework excels in scalability, data-exchange security, and rapid response times, aiming to establish an intelligent blockchain-based smart grid supporting centralized learning (CL), federated learning (FL), and active federated learning (AFL). We present an innovative blockchain-based architecture customized to optimize information sharing and security within the blockchain. Our solution addresses various learning paradigm requirements by: (i) Selecting reliable entities for participation based on high-quality training data models; (ii) Acquiring a reliable subset of data for CL and AFL, balancing learning performance, latency, and cost; (iii) Adjusting blockchain configuration to align with specific learning paradigm requirements. Results from real-world datasets demonstrate superior performance compared to existing solutions. Our framework achieves high learning performance while minimizing latency and blockchain costs.</p><h2>Other Information</h2> <p> Published in: Computers and Electrical Engineering<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.compeleceng.2024.110012" target="_blank">https://dx.doi.org/10.1016/j.compeleceng.2024.110012</a></p>2024-12-21T18:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.compeleceng.2024.110012https://figshare.com/articles/journal_contribution/Blockchain-enabled_distributed_learning_for_enhanced_smart_grid_security_and_efficiency/28112975CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/281129752024-12-21T18:00:00Z |
| spellingShingle | Blockchain-enabled distributed learning for enhanced smart grid security and efficiency Alaa Awad Abdellatif (17151163) Information and computing sciences Artificial intelligence Cybersecurity and privacy Distributed learning Blockchain Microgrid Sidechains Federated learning |
| status_str | publishedVersion |
| title | Blockchain-enabled distributed learning for enhanced smart grid security and efficiency |
| title_full | Blockchain-enabled distributed learning for enhanced smart grid security and efficiency |
| title_fullStr | Blockchain-enabled distributed learning for enhanced smart grid security and efficiency |
| title_full_unstemmed | Blockchain-enabled distributed learning for enhanced smart grid security and efficiency |
| title_short | Blockchain-enabled distributed learning for enhanced smart grid security and efficiency |
| title_sort | Blockchain-enabled distributed learning for enhanced smart grid security and efficiency |
| topic | Information and computing sciences Artificial intelligence Cybersecurity and privacy Distributed learning Blockchain Microgrid Sidechains Federated learning |