Exploring secure and private data aggregation techniques for the internet of things: a comprehensive review

Abstract The Internet of Things (IoT) is a notion in which smart devices seamlessly integrate with physical and virtual resources. These resources are accessible online and available to anyone to provide value-added information. The rapid advancement of technology has resulted in the creation of var...

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Main Authors: Dagmawit Tadesse Aga, Rakesh Chintanippu, Rawshan Ara Mowri, Madhuri Siddula
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Discover Internet of Things
Subjects:
Online Access:https://doi.org/10.1007/s43926-024-00064-7
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author Dagmawit Tadesse Aga
Rakesh Chintanippu
Rawshan Ara Mowri
Madhuri Siddula
author_facet Dagmawit Tadesse Aga
Rakesh Chintanippu
Rawshan Ara Mowri
Madhuri Siddula
author_sort Dagmawit Tadesse Aga
collection DOAJ
description Abstract The Internet of Things (IoT) is a notion in which smart devices seamlessly integrate with physical and virtual resources. These resources are accessible online and available to anyone to provide value-added information. The rapid advancement of technology has resulted in the creation of various features and capabilities for end-users and applications. Smart devices generate a large amount of data on the Internet of Things (IoT) and aggregate it on various server platforms, which is crucial for data processing, aggregating, and controlling. The accelerated development of technology has led to the creation of various features and capabilities for end-users and applications. Despite its benefits, IoT technology is plagued by several security and privacy concerns that must be addressed to ensure widespread acceptance. The accelerated technological progress has created a multitude of features and capabilities, yet it has also posed substantial challenges. To address this problem, researchers and practitioners have adopted numerous schemes to aggregate data while preserving data privacy. Data privacy is critical to protect against network entities inside the network, data operators, and external eavesdroppers. This survey paper delves into the security and privacy challenges associated with IoT and explores recent solutions, such as APPA, blockchain-enabled IoT, LPDA, EF-IDASC, and two secure privacy-preserving data aggregation schemes - PPLS. Additionally, it outlines several open research challenges and their anticipated solutions.
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institution Kabale University
issn 2730-7239
language English
publishDate 2024-11-01
publisher Springer
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series Discover Internet of Things
spelling doaj-art-a6576c740df54a7788961b0b4dafa16d2024-12-01T12:40:44ZengSpringerDiscover Internet of Things2730-72392024-11-014112410.1007/s43926-024-00064-7Exploring secure and private data aggregation techniques for the internet of things: a comprehensive reviewDagmawit Tadesse Aga0Rakesh Chintanippu1Rawshan Ara Mowri2Madhuri Siddula3Department of Computer Science, North Carolina A &T State UniversityDepartment of Computer Science, North Carolina A &T State UniversityDepartment of Computer Science, North Carolina A &T State UniversityDepartment of Computer Science, North Carolina A &T State UniversityAbstract The Internet of Things (IoT) is a notion in which smart devices seamlessly integrate with physical and virtual resources. These resources are accessible online and available to anyone to provide value-added information. The rapid advancement of technology has resulted in the creation of various features and capabilities for end-users and applications. Smart devices generate a large amount of data on the Internet of Things (IoT) and aggregate it on various server platforms, which is crucial for data processing, aggregating, and controlling. The accelerated development of technology has led to the creation of various features and capabilities for end-users and applications. Despite its benefits, IoT technology is plagued by several security and privacy concerns that must be addressed to ensure widespread acceptance. The accelerated technological progress has created a multitude of features and capabilities, yet it has also posed substantial challenges. To address this problem, researchers and practitioners have adopted numerous schemes to aggregate data while preserving data privacy. Data privacy is critical to protect against network entities inside the network, data operators, and external eavesdroppers. This survey paper delves into the security and privacy challenges associated with IoT and explores recent solutions, such as APPA, blockchain-enabled IoT, LPDA, EF-IDASC, and two secure privacy-preserving data aggregation schemes - PPLS. Additionally, it outlines several open research challenges and their anticipated solutions.https://doi.org/10.1007/s43926-024-00064-7Data aggregationData privacyInternet of thingsInternet of medical thingsSecuritySmart city
spellingShingle Dagmawit Tadesse Aga
Rakesh Chintanippu
Rawshan Ara Mowri
Madhuri Siddula
Exploring secure and private data aggregation techniques for the internet of things: a comprehensive review
Discover Internet of Things
Data aggregation
Data privacy
Internet of things
Internet of medical things
Security
Smart city
title Exploring secure and private data aggregation techniques for the internet of things: a comprehensive review
title_full Exploring secure and private data aggregation techniques for the internet of things: a comprehensive review
title_fullStr Exploring secure and private data aggregation techniques for the internet of things: a comprehensive review
title_full_unstemmed Exploring secure and private data aggregation techniques for the internet of things: a comprehensive review
title_short Exploring secure and private data aggregation techniques for the internet of things: a comprehensive review
title_sort exploring secure and private data aggregation techniques for the internet of things a comprehensive review
topic Data aggregation
Data privacy
Internet of things
Internet of medical things
Security
Smart city
url https://doi.org/10.1007/s43926-024-00064-7
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AT rawshanaramowri exploringsecureandprivatedataaggregationtechniquesfortheinternetofthingsacomprehensivereview
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