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An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions

Mehdi Gheisari Orcid Logo, Ehsan Shojaeian Orcid Logo, Amir Javadpour Orcid Logo, Ahmad Jalili, Hamid Esmaeili-Najafabadi Orcid Logo, Bahram Sadeghi Bigham, Alisa A Vorobeva, Yang Liu Orcid Logo, Mohammad Rezaei

IEEE Open Journal of Vehicular Technology, Volume: 4, Pages: 356 - 362

Swansea University Author: Yang Liu Orcid Logo

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DOI (Published version): 10.1109/ojvt.2023.3243226

Abstract

In today's world, everything is connected via the Internet. Smart cities are one application of the Internet of Things (IoT) that is aimed at making city management more efficient and effective. However, IoT devices within a smart city may collect sensitive information. Protecting sensitive inf...

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Published in: IEEE Open Journal of Vehicular Technology
ISSN: 2644-1330
Published: Institute of Electrical and Electronics Engineers (IEEE) 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa67394
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spelling v2 67394 2024-08-15 An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions ba37dab58c9093dc63c79001565b75d4 0000-0003-2486-5765 Yang Liu Yang Liu true false 2024-08-15 MACS In today's world, everything is connected via the Internet. Smart cities are one application of the Internet of Things (IoT) that is aimed at making city management more efficient and effective. However, IoT devices within a smart city may collect sensitive information. Protecting sensitive information requires maintaining privacy. Existing smart city solutions have been shown not to offer effective privacy protection. We propose a novel continuous method called Differential Privacy-Preserving Smart City (DPSmartCity). When the IoT device produces sensitive data, it applies differential privacy techniques as a privacy-preserving method that uses Laplace distributions or exponential distributions. The controller receives the perturbed data and forwards it to the SDN. SDN controllers eventually send the data to the cloud for further analysis. Accordingly, if the data is not sensitive, it is directly uploaded to the cloud. In this way, DPSmartCity provides a dynamic environment from the point of view of privacy preservation. As a result, adversaries are unable to easily compromise the privacy of the devices. The solution incurs at most 10-18% overhead on IoT devices. Our solution can therefore be used for IoT devices that are capable of handling this overhead. Journal Article IEEE Open Journal of Vehicular Technology 4 356 362 Institute of Electrical and Electronics Engineers (IEEE) 2644-1330 IoT, privacy-preservation, differential privacy, distribution, SDN 1 3 2023 2023-03-01 10.1109/ojvt.2023.3243226 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2024-09-20T14:20:53.2016481 2024-08-15T17:03:10.5949881 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Mehdi Gheisari 0000-0002-5643-0021 1 Ehsan Shojaeian 0000-0002-7545-6956 2 Amir Javadpour 0000-0002-4932-1660 3 Ahmad Jalili 4 Hamid Esmaeili-Najafabadi 0000-0003-1653-9900 5 Bahram Sadeghi Bigham 6 Alisa A Vorobeva 7 Yang Liu 0000-0003-2486-5765 8 Mohammad Rezaei 9 67394__31416__005570f18b2a482daef4aa525198cb10.pdf 67394.VoR.pdf 2024-09-20T14:19:28.4270792 Output 1458421 application/pdf Version of Record true This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. true eng https://creativecommons.org/licenses/by-nc-nd/4.0/
title An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions
spellingShingle An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions
Yang Liu
title_short An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions
title_full An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions
title_fullStr An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions
title_full_unstemmed An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions
title_sort An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions
author_id_str_mv ba37dab58c9093dc63c79001565b75d4
author_id_fullname_str_mv ba37dab58c9093dc63c79001565b75d4_***_Yang Liu
author Yang Liu
author2 Mehdi Gheisari
Ehsan Shojaeian
Amir Javadpour
Ahmad Jalili
Hamid Esmaeili-Najafabadi
Bahram Sadeghi Bigham
Alisa A Vorobeva
Yang Liu
Mohammad Rezaei
format Journal article
container_title IEEE Open Journal of Vehicular Technology
container_volume 4
container_start_page 356
publishDate 2023
institution Swansea University
issn 2644-1330
doi_str_mv 10.1109/ojvt.2023.3243226
publisher Institute of Electrical and Electronics Engineers (IEEE)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
description In today's world, everything is connected via the Internet. Smart cities are one application of the Internet of Things (IoT) that is aimed at making city management more efficient and effective. However, IoT devices within a smart city may collect sensitive information. Protecting sensitive information requires maintaining privacy. Existing smart city solutions have been shown not to offer effective privacy protection. We propose a novel continuous method called Differential Privacy-Preserving Smart City (DPSmartCity). When the IoT device produces sensitive data, it applies differential privacy techniques as a privacy-preserving method that uses Laplace distributions or exponential distributions. The controller receives the perturbed data and forwards it to the SDN. SDN controllers eventually send the data to the cloud for further analysis. Accordingly, if the data is not sensitive, it is directly uploaded to the cloud. In this way, DPSmartCity provides a dynamic environment from the point of view of privacy preservation. As a result, adversaries are unable to easily compromise the privacy of the devices. The solution incurs at most 10-18% overhead on IoT devices. Our solution can therefore be used for IoT devices that are capable of handling this overhead.
published_date 2023-03-01T14:20:51Z
_version_ 1810721356375916544
score 11.028798

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