Ethereum blockchain-based three factor authentication and multi-contract access control for secure smart home environment in 5G networks

With the rapid advancement of technology, smart home environments have become increasingly popular, offering convenience and automation to homeowners. However, as these smart homes become more interconnected and integrated into 5G networks, security concerns arise, especially with the potential for...

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Main Authors: Atiewi S., Al-Rahayfeh A., Almiani M., Abuhussein A., Yussof S.
Other Authors: 53863311500
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Published: Springer 2025
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spelling my.uniten.dspace-365202025-03-03T15:42:51Z Ethereum blockchain-based three factor authentication and multi-contract access control for secure smart home environment in 5G networks Atiewi S. Al-Rahayfeh A. Almiani M. Abuhussein A. Yussof S. 53863311500 55843225300 57189663325 55650791500 16023225600 Adaptive control systems Authentication Automation Blockchain Cryptography Fuzzy inference Fuzzy neural networks Fuzzy systems Network security Support vector machines Adaptive neuro-fuzzy inference Adaptive neuro-fuzzy inference system Block-chain Elliptic curve digital signature Enhanced elliptic curve digital signature Home environment Neuro-fuzzy inference systems Robot operating system based ethereum blockchain Secure smart home Smart homes 5G mobile communication systems With the rapid advancement of technology, smart home environments have become increasingly popular, offering convenience and automation to homeowners. However, as these smart homes become more interconnected and integrated into 5G networks, security concerns arise, especially with the potential for unauthorized access and control. To address these security challenges, this research proposes a novel Robot Operating System based Ethereum blockchain (ROS-EB) that is responsible for secure and private data storage. In this research we reduce high complexity. The registration contract is performed by a certificate authority, and the key is generated using the Enhanced Elliptic Curve Digital Signature (EECDS) algorithm which improves the secure and private communication between the users, IoT devices, and edge-gateway. To increase security, we perform secure authentication by creating an effective methodology based on the Touch Well before Use (TWU) method which protects against attacks. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is used for role-based access control and judge contracts. To improve secure service providing, we perform the detection of malicious and vulnerable users using Improved Cuckoo Optimization and Support Vector Machine (ICO-SVM) and Gated Recurrent Unit and Residual Neural Network (GRU-ResNNet) algorithm in ROS-EB which reduces the vulnerability in the smart home. For improving QoS, we have provided sufficient security service in the smart home environment (i.e. adjusting temperature, turning on/off lights, adjusting watering system and mantrap) by using multi-contract. The performance metrics such as Communication delay, register contract, access contract, detection time, and Energy consumed were assessed. ? The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Final 2025-03-03T07:42:51Z 2025-03-03T07:42:51Z 2024 Article 10.1007/s10586-023-04202-8 2-s2.0-85177760319 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177760319&doi=10.1007%2fs10586-023-04202-8&partnerID=40&md5=13915ef4e40696a4351a9704fd72d8cf https://irepository.uniten.edu.my/handle/123456789/36520 27 4 4551 4568 Springer Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Adaptive control systems
Authentication
Automation
Blockchain
Cryptography
Fuzzy inference
Fuzzy neural networks
Fuzzy systems
Network security
Support vector machines
Adaptive neuro-fuzzy inference
Adaptive neuro-fuzzy inference system
Block-chain
Elliptic curve digital signature
Enhanced elliptic curve digital signature
Home environment
Neuro-fuzzy inference systems
Robot operating system based ethereum blockchain
Secure smart home
Smart homes
5G mobile communication systems
spellingShingle Adaptive control systems
Authentication
Automation
Blockchain
Cryptography
Fuzzy inference
Fuzzy neural networks
Fuzzy systems
Network security
Support vector machines
Adaptive neuro-fuzzy inference
Adaptive neuro-fuzzy inference system
Block-chain
Elliptic curve digital signature
Enhanced elliptic curve digital signature
Home environment
Neuro-fuzzy inference systems
Robot operating system based ethereum blockchain
Secure smart home
Smart homes
5G mobile communication systems
Atiewi S.
Al-Rahayfeh A.
Almiani M.
Abuhussein A.
Yussof S.
Ethereum blockchain-based three factor authentication and multi-contract access control for secure smart home environment in 5G networks
description With the rapid advancement of technology, smart home environments have become increasingly popular, offering convenience and automation to homeowners. However, as these smart homes become more interconnected and integrated into 5G networks, security concerns arise, especially with the potential for unauthorized access and control. To address these security challenges, this research proposes a novel Robot Operating System based Ethereum blockchain (ROS-EB) that is responsible for secure and private data storage. In this research we reduce high complexity. The registration contract is performed by a certificate authority, and the key is generated using the Enhanced Elliptic Curve Digital Signature (EECDS) algorithm which improves the secure and private communication between the users, IoT devices, and edge-gateway. To increase security, we perform secure authentication by creating an effective methodology based on the Touch Well before Use (TWU) method which protects against attacks. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is used for role-based access control and judge contracts. To improve secure service providing, we perform the detection of malicious and vulnerable users using Improved Cuckoo Optimization and Support Vector Machine (ICO-SVM) and Gated Recurrent Unit and Residual Neural Network (GRU-ResNNet) algorithm in ROS-EB which reduces the vulnerability in the smart home. For improving QoS, we have provided sufficient security service in the smart home environment (i.e. adjusting temperature, turning on/off lights, adjusting watering system and mantrap) by using multi-contract. The performance metrics such as Communication delay, register contract, access contract, detection time, and Energy consumed were assessed. ? The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
author2 53863311500
author_facet 53863311500
Atiewi S.
Al-Rahayfeh A.
Almiani M.
Abuhussein A.
Yussof S.
format Article
author Atiewi S.
Al-Rahayfeh A.
Almiani M.
Abuhussein A.
Yussof S.
author_sort Atiewi S.
title Ethereum blockchain-based three factor authentication and multi-contract access control for secure smart home environment in 5G networks
title_short Ethereum blockchain-based three factor authentication and multi-contract access control for secure smart home environment in 5G networks
title_full Ethereum blockchain-based three factor authentication and multi-contract access control for secure smart home environment in 5G networks
title_fullStr Ethereum blockchain-based three factor authentication and multi-contract access control for secure smart home environment in 5G networks
title_full_unstemmed Ethereum blockchain-based three factor authentication and multi-contract access control for secure smart home environment in 5G networks
title_sort ethereum blockchain-based three factor authentication and multi-contract access control for secure smart home environment in 5g networks
publisher Springer
publishDate 2025
_version_ 1825816108979978240
score 13.244109