Optimizing Smart-Home Energy Systems Through Energy-Efficient Off-Chain Blockchain-Based Attribute-Based Access Control (ABAC): A Hybrid LightGBM Approach.
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| Title: | Optimizing Smart-Home Energy Systems Through Energy-Efficient Off-Chain Blockchain-Based Attribute-Based Access Control (ABAC): A Hybrid LightGBM Approach. |
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| Authors: | Waheed, Urooj1 (AUTHOR), Mansoor, Yusra1,2 (AUTHOR) huma.jamshed@dsu.edu.pk, Malik, Najeeb Ur Rehman2,3 (AUTHOR), Jamshed, Huma1,4 (AUTHOR), Masud, Muhammad I.3,5 (AUTHOR) m.aman@ubt.edu.sa, Nahhas, Ahmed M.4,6 (AUTHOR), Aman, Mohammed5 (AUTHOR), Jumani, Touqeer Ahmed6 (AUTHOR) |
| Source: | Energies (19961073). May2026, Vol. 19 Issue 10, p2279. 36p. |
| Subject Terms: | *Access control, *Energy management, *Internet of things, *Computer science, *Boosting algorithms |
| Abstract: | The widespread deployment of Internet of Things (IoT) technologies in smart-home energy systems has increased the demand for secure, context-aware, and energy-efficient access control (AC) mechanisms. Although blockchain-based AC provides immutability, auditability, and fine-grained policy enforcement, its dependence on on-chain decision-making introduces significant computational latency and energy overhead, limiting its suitability for resource-constrained IoT environments. This paper proposes Optimized Dynamic-Attribute-Based Access Control-IoT (ODABAC-IoT), a hybrid off-chain and decentralized ABAC framework that combines off-chain LightGBM inference with selective on-chain verification to reduce blockchain workload while preserving trust and transparency. This work focuses on improving the computational efficiency, latency, and energy consumption of blockchain-enabled AC within smart-home energy systems, rather than directly optimizing physical energy consumption. In the proposed framework, high-confidence access requests are evaluated off-chain, whereas uncertain requests are forwarded to smart contracts for final validation. This hybrid decision-making strategy reduces unnecessary blockchain transactions, lowers latency, and improves computational efficiency without compromising security. Experimental results demonstrate up to 65% reduction in blockchain transaction volume, 64% improvement in latency, and 65% reduction compared to on-chain ABAC and 50% compared to hybrid blockchain approaches. These gains correspond to a reduction in daily blockchain energy consumption from 10 kWh to 3.5 kWh in a representative household scenario. The results indicate that ODABAC-IoT improves scalability, energy efficiency of the digital control layer, and responsiveness in IoT-enabled smart home energy systems, offering an effective pathway toward energy-aware and secure AC in the digital infrastructure of smart home energy systems. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 194141394 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimizing Smart-Home Energy Systems Through Energy-Efficient Off-Chain Blockchain-Based Attribute-Based Access Control (ABAC): A Hybrid LightGBM Approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Waheed%2C+Urooj%22">Waheed, Urooj</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mansoor%2C+Yusra%22">Mansoor, Yusra</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> huma.jamshed@dsu.edu.pk</i><br /><searchLink fieldCode="AR" term="%22Malik%2C+Najeeb+Ur+Rehman%22">Malik, Najeeb Ur Rehman</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jamshed%2C+Huma%22">Jamshed, Huma</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Masud%2C+Muhammad+I%2E%22">Masud, Muhammad I.</searchLink><relatesTo>3,5</relatesTo> (AUTHOR)<i> m.aman@ubt.edu.sa</i><br /><searchLink fieldCode="AR" term="%22Nahhas%2C+Ahmed+M%2E%22">Nahhas, Ahmed M.</searchLink><relatesTo>4,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aman%2C+Mohammed%22">Aman, Mohammed</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jumani%2C+Touqeer+Ahmed%22">Jumani, Touqeer Ahmed</searchLink><relatesTo>6</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 10, p2279. 36p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Access+control%22">Access control</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+management%22">Energy management</searchLink><br />*<searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+science%22">Computer science</searchLink><br />*<searchLink fieldCode="DE" term="%22Boosting+algorithms%22">Boosting algorithms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The widespread deployment of Internet of Things (IoT) technologies in smart-home energy systems has increased the demand for secure, context-aware, and energy-efficient access control (AC) mechanisms. Although blockchain-based AC provides immutability, auditability, and fine-grained policy enforcement, its dependence on on-chain decision-making introduces significant computational latency and energy overhead, limiting its suitability for resource-constrained IoT environments. This paper proposes Optimized Dynamic-Attribute-Based Access Control-IoT (ODABAC-IoT), a hybrid off-chain and decentralized ABAC framework that combines off-chain LightGBM inference with selective on-chain verification to reduce blockchain workload while preserving trust and transparency. This work focuses on improving the computational efficiency, latency, and energy consumption of blockchain-enabled AC within smart-home energy systems, rather than directly optimizing physical energy consumption. In the proposed framework, high-confidence access requests are evaluated off-chain, whereas uncertain requests are forwarded to smart contracts for final validation. This hybrid decision-making strategy reduces unnecessary blockchain transactions, lowers latency, and improves computational efficiency without compromising security. Experimental results demonstrate up to 65% reduction in blockchain transaction volume, 64% improvement in latency, and 65% reduction compared to on-chain ABAC and 50% compared to hybrid blockchain approaches. These gains correspond to a reduction in daily blockchain energy consumption from 10 kWh to 3.5 kWh in a representative household scenario. The results indicate that ODABAC-IoT improves scalability, energy efficiency of the digital control layer, and responsiveness in IoT-enabled smart home energy systems, offering an effective pathway toward energy-aware and secure AC in the digital infrastructure of smart home energy systems. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194141394 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19102279 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 36 StartPage: 2279 Subjects: – SubjectFull: Access control Type: general – SubjectFull: Energy management Type: general – SubjectFull: Internet of things Type: general – SubjectFull: Computer science Type: general – SubjectFull: Boosting algorithms Type: general Titles: – TitleFull: Optimizing Smart-Home Energy Systems Through Energy-Efficient Off-Chain Blockchain-Based Attribute-Based Access Control (ABAC): A Hybrid LightGBM Approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Waheed, Urooj – PersonEntity: Name: NameFull: Mansoor, Yusra – PersonEntity: Name: NameFull: Malik, Najeeb Ur Rehman – PersonEntity: Name: NameFull: Jamshed, Huma – PersonEntity: Name: NameFull: Masud, Muhammad I. – PersonEntity: Name: NameFull: Nahhas, Ahmed M. – PersonEntity: Name: NameFull: Aman, Mohammed – PersonEntity: Name: NameFull: Jumani, Touqeer Ahmed IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 10 Titles: – TitleFull: Energies (19961073) Type: main |
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