Advances in Secure IoT Data Sharing

The proliferation of IoT devices on the Internet is currently in the billions, and projections anticipate that there will be 50 billion connected IoT devices in the IoT market by 2030. This rapid expansion will result in a substantial increase in data, which includes personal data, generated by these IoT devices. It is estimated that the data volume will reach 73.1 zettabytes by 2025. To fully realize the substantial benefits of the IoT, it is imperative to facilitate the responsible utilization and sharing of this data among various stakeholders. However, it is crucial to establish robust security and trust mechanisms to ensure data integrity and privacy during data sharing. Our objective is to summarize and assess the research efforts that address secure IoT data sharing. We systematically review the state-of-the-art techniques ensuring and preserving security in the IoT data-sharing environment through a systematic literature review (SLR) study. We pose three research questions, define selection and exclusion criteria for primary studies, and extract and synthesize data from these studies to answer our research questions. Our SLR results can help readers to obtain (i) an overview of existing secure IoT data-sharing approaches and related issues, (ii) a deep-dive into Edge-focused secure IoT data sharing solutions, and (iii) research directions that require attention from the research community for follow-up work.

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Publication Details

Journal
Foundations and Trends® in Privacy and Security
Published
2024-11-28
DOI
https://doi.org/10.1561/3300000042
Citations
4
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
1.40

Funders

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article

Advances in Secure IoT Data Sharing

Phu H. Nguyen, Gencer Erdogan, Shukun Tokas, Arda Göknil et al.
4 citations
Foundations and Trends® in Privacy and Security
IoT and Edge/Fog Computing
1.40
article

Advances in Secure IoT Data Sharing

Phu H. Nguyen, Gencer Erdogan, Shukun Tokas, Arda Göknil, Thanh Thao Thi Tran, Nicolas Ferry
article en
4 citations

Abstract

The proliferation of IoT devices on the Internet is currently in the billions, and projections anticipate that there will be 50 billion connected IoT devices in the IoT market by 2030. This rapid expansion will result in a substantial increase in data, which includes personal data, generated by these IoT devices. It is estimated that the data volume will reach 73.1 zettabytes by 2025. To fully realize the substantial benefits of the IoT, it is imperative to facilitate the responsible utilization and sharing of this data among various stakeholders. However, it is crucial to establish robust security and trust mechanisms to ensure data integrity and privacy during data sharing. Our objective is to summarize and assess the research efforts that address secure IoT data sharing. We systematically review the state-of-the-art techniques ensuring and preserving security in the IoT data-sharing environment through a systematic literature review (SLR) study. We pose three research questions, define selection and exclusion criteria for primary studies, and extract and synthesize data from these studies to answer our research questions. Our SLR results can help readers to obtain (i) an overview of existing secure IoT data-sharing approaches and related issues, (ii) a deep-dive into Edge-focused secure IoT data sharing solutions, and (iii) research directions that require attention from the research community for follow-up work.

Foundations and Trends® in Privacy and SecurityVol. 7(1)
SINTEF (NO), Université Côte d'Azur (FR), Deutsche Bahn (Germany) (DE), Observatoire de la Côte d’Azur (FR), SINTEF Digital
European Commission, Norges Forskningsråd, HORIZON EUROPE Framework Programme
Industry, innovation and infrastructure
Openalex Percentile: Top 16%
IoT and Edge/Fog Computing
1.40
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