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Secure remote sensing data with blockchain distributed ledger technology: A solution for smart cities

Particularly in the context of smart cities, remote sensing data (RSD) has emerged as one of the hottest study topics in information and communication technology (ICT) today. The development of machine learning (ML) and artificial intelligence (AI) has made it possible to solve a number of issues, i...

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Main Authors: Jamil Alsayaydeh, Jamil Abedalrahim, Khan, Abdullah Ayub, Laghari, Asif Ali, Alroobaea, Roobaea, M. Baqasah, Abdullah, Alsafyan, Majed, Bacarra, Rex
Format: Article
Language:English
Published: Institute Of Electrical And Electronics Engineers Inc. 2024
Online Access:http://eprints.utem.edu.my/id/eprint/27682/2/0248719072024135142.PDF
http://eprints.utem.edu.my/id/eprint/27682/
https://ieeexplore.ieee.org/document/10530997
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spelling my.utem.eprints.276822024-10-04T16:46:20Z http://eprints.utem.edu.my/id/eprint/27682/ Secure remote sensing data with blockchain distributed ledger technology: A solution for smart cities Jamil Alsayaydeh, Jamil Abedalrahim Khan, Abdullah Ayub Laghari, Asif Ali Alroobaea, Roobaea M. Baqasah, Abdullah Alsafyan, Majed Bacarra, Rex Particularly in the context of smart cities, remote sensing data (RSD) has emerged as one of the hottest study topics in information and communication technology (ICT) today. The development of machine learning (ML) and artificial intelligence (AI) has made it possible to solve a number of issues, including automation, control access, optimization, monitoring, and management. Simultaneously, there are significant issues with the design and development of the process hierarchy, including inadequate training records, centralized architecture, data privacy protection, and overall resource consumption restrictions. The development of Distributed Ledger Technology (DLT), on the other hand, provides a decentralized infrastructure that allows systems to eliminate centralized data-sharing procedures of smart cities while transferring from network node to network node, and third-party access control solves machine learning issues. To process an ideal data delivery mechanism for the smart cities analytical model, the paper employs Partial Swam Optimization (POS) in conjunction with a secure blockchain distributed consortium network. This work makes three contributions. Firstly, it offers a safe transmission method that combines blockchain and machine learning to optimize the path for reliable data delivery across secure channels. Second, neighborhood encryption sequences are carried out using NuCypher proxy re-encryption-enabled value encryption, a public key cryptographic approach that avoids cypher conversion. Third, Artificial Neural Networks (ANNs) can solve the data deliverance classification problem in smart cities by optimizing record management and preservation. Institute Of Electrical And Electronics Engineers Inc. 2024 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/27682/2/0248719072024135142.PDF Jamil Alsayaydeh, Jamil Abedalrahim and Khan, Abdullah Ayub and Laghari, Asif Ali and Alroobaea, Roobaea and M. Baqasah, Abdullah and Alsafyan, Majed and Bacarra, Rex (2024) Secure remote sensing data with blockchain distributed ledger technology: A solution for smart cities. IEEE Access, 12. pp. 69383-69396. ISSN 2169-3536 https://ieeexplore.ieee.org/document/10530997 10.1109/ACCESS.2024.3401591
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Particularly in the context of smart cities, remote sensing data (RSD) has emerged as one of the hottest study topics in information and communication technology (ICT) today. The development of machine learning (ML) and artificial intelligence (AI) has made it possible to solve a number of issues, including automation, control access, optimization, monitoring, and management. Simultaneously, there are significant issues with the design and development of the process hierarchy, including inadequate training records, centralized architecture, data privacy protection, and overall resource consumption restrictions. The development of Distributed Ledger Technology (DLT), on the other hand, provides a decentralized infrastructure that allows systems to eliminate centralized data-sharing procedures of smart cities while transferring from network node to network node, and third-party access control solves machine learning issues. To process an ideal data delivery mechanism for the smart cities analytical model, the paper employs Partial Swam Optimization (POS) in conjunction with a secure blockchain distributed consortium network. This work makes three contributions. Firstly, it offers a safe transmission method that combines blockchain and machine learning to optimize the path for reliable data delivery across secure channels. Second, neighborhood encryption sequences are carried out using NuCypher proxy re-encryption-enabled value encryption, a public key cryptographic approach that avoids cypher conversion. Third, Artificial Neural Networks (ANNs) can solve the data deliverance classification problem in smart cities by optimizing record management and preservation.
format Article
author Jamil Alsayaydeh, Jamil Abedalrahim
Khan, Abdullah Ayub
Laghari, Asif Ali
Alroobaea, Roobaea
M. Baqasah, Abdullah
Alsafyan, Majed
Bacarra, Rex
spellingShingle Jamil Alsayaydeh, Jamil Abedalrahim
Khan, Abdullah Ayub
Laghari, Asif Ali
Alroobaea, Roobaea
M. Baqasah, Abdullah
Alsafyan, Majed
Bacarra, Rex
Secure remote sensing data with blockchain distributed ledger technology: A solution for smart cities
author_facet Jamil Alsayaydeh, Jamil Abedalrahim
Khan, Abdullah Ayub
Laghari, Asif Ali
Alroobaea, Roobaea
M. Baqasah, Abdullah
Alsafyan, Majed
Bacarra, Rex
author_sort Jamil Alsayaydeh, Jamil Abedalrahim
title Secure remote sensing data with blockchain distributed ledger technology: A solution for smart cities
title_short Secure remote sensing data with blockchain distributed ledger technology: A solution for smart cities
title_full Secure remote sensing data with blockchain distributed ledger technology: A solution for smart cities
title_fullStr Secure remote sensing data with blockchain distributed ledger technology: A solution for smart cities
title_full_unstemmed Secure remote sensing data with blockchain distributed ledger technology: A solution for smart cities
title_sort secure remote sensing data with blockchain distributed ledger technology: a solution for smart cities
publisher Institute Of Electrical And Electronics Engineers Inc.
publishDate 2024
url http://eprints.utem.edu.my/id/eprint/27682/2/0248719072024135142.PDF
http://eprints.utem.edu.my/id/eprint/27682/
https://ieeexplore.ieee.org/document/10530997
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score 13.211869

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