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Access Control Models and Frameworks for the IoT Environment: Review, Challenges, and Future Direction.

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Title: Access Control Models and Frameworks for the IoT Environment: Review, Challenges, and Future Direction.
Authors: Mishra, Rajiv Kumar1 (AUTHOR) mishrarajiv99@gmail.com, Yadav, Rajesh K.1 (AUTHOR), Nath, Prem2 (AUTHOR)
Source: Wireless Personal Communications. Oct2024, Vol. 138 Issue 3, p1671-1701. 31p.
Subjects: Internet access control, Access control, Internet privacy, Security systems, Internet of things
Abstract: The rapid growth of the Internet of Things and the massive growth of sensitive data created by user equipment have headed to resilient demand for additional security and privacy measures. The data produced by the IoT devices are often sensitive & personal, which raises new concerns about security measurement. The development & adoption of IoT and the security aspects of the IoT are not going at the same pace. The future IoT architecture must emphasize enough security concerns and provides adequate measures to prevent devices/data from being accessed by unauthorized means. This work encompasses a comprehensive analysis of frameworks & models of access control for the IoT environment. In this review paper, the analysis of access control solutions is done in four parts: the first part compares various existing review articles with our work, the second part encompasses architecture-based access control mechanisms, the third part comprises access control models, and the fourth part contains few emergent solutions including blockchain-based solutions. Subsequently, prevalent solutions are mapped to vital requirements of the IoT environment. Eventually, security obligations for the IoT environment, probable challenges, and forthcoming research directions are highlighted. This research explores the growing literature on access control for IoT, emphasizing its security requirements. [ABSTRACT FROM AUTHOR]
Copyright of Wireless Personal Communications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: The rapid growth of the Internet of Things and the massive growth of sensitive data created by user equipment have headed to resilient demand for additional security and privacy measures. The data produced by the IoT devices are often sensitive & personal, which raises new concerns about security measurement. The development & adoption of IoT and the security aspects of the IoT are not going at the same pace. The future IoT architecture must emphasize enough security concerns and provides adequate measures to prevent devices/data from being accessed by unauthorized means. This work encompasses a comprehensive analysis of frameworks & models of access control for the IoT environment. In this review paper, the analysis of access control solutions is done in four parts: the first part compares various existing review articles with our work, the second part encompasses architecture-based access control mechanisms, the third part comprises access control models, and the fourth part contains few emergent solutions including blockchain-based solutions. Subsequently, prevalent solutions are mapped to vital requirements of the IoT environment. Eventually, security obligations for the IoT environment, probable challenges, and forthcoming research directions are highlighted. This research explores the growing literature on access control for IoT, emphasizing its security requirements. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Wireless Personal Communications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Oct2024
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