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IEEE Internet of Things Magazine
Article . 2024 . Peer-reviewed
License: IEEE Copyright
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Informed Consent in IoT Environments: Challenges and a Futuristic Incentives-Based Model

Authors: Areej Fayez Eliyan; Safdar Nawaz Khan Marwat; Junaid Qadir 0001; Ala I. Al-Fuqaha;

Informed Consent in IoT Environments: Challenges and a Futuristic Incentives-Based Model

Abstract

The ubiquitous deployment of IoT devices has enabled the collection of large amounts of data, which can be used to infer intimate information about user behavior and preferences. However, this potential for data collection raises concerns about user privacy. Obtaining informed consent from users can build trust and enable data gathering for socially beneficial purposes, leading to the development of new services and capabilities for research in various fields, including those involving human subjects. However, this promise cannot be realized as long as apprehensions regarding the discretion of confidential data are satisfied among the masses. In an attempt to secure the confidence of users, the notion of informed consent is taken to new echelons in this article. A model for incentivizing the notion of informed consent in the context of IoT is presented in this work, where the aspiration is to persuade users into accepting the disclosure of information in return for tangible as well as intangible incentives. This results in developing a trust-based relationship with users and can prove to be the next step towards revealing the full spectrum of the IoT wonders. Scopus

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Keywords

User behaviors, Internet of things, Full-spectrum, New services, Confidential data, Data collection, Large amounts of data, User privacy, User's preferences, Data gathering, Behavioral research, Human subjects

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green