Edge Computing and Computational Task Offloading Analysis – A review study

Zaidi, Tanzeel; Aziz, Samia; Usman, Muhammad; Azam, Awais; Cheema, Adeel Ashraf; Ajmal, Sahar

doi:10.1109/etecte55893.2022.10007120

Cited by 1 publication

(2 citation statements)

References 32 publications

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“…To identify the problems faced in IoT applications the authors in the study [10], present a survey of access control mechanisms for researchers to resolve traditional problems faced in IoT systems and in a study [11] presents a hybrid deep learning method for resolving the problems that are identified authentication is one major issue is identified in that survey. The findings in the study [12] help us comprehend how IoT may optimise data processing and resource utilization. They also give a general outline of the difficulties involved in managing larger data transfers over a network.…”

Section: Literature Reviewmentioning

confidence: 88%

“…The implementation of efficient access control in IoT systems is fraught with difficulties. The massive volume and variety of the involved devices present one significant problem and lead to delays in time as discussed in the study [12]. Sensors, actuators, gateways, and other devices with various sizes, shapes and functions may be a part of IoT networks.…”

Section: Background a Internet Of Thingsmentioning

confidence: 99%

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Fabrication of Flexible Role-Based Access Control Based on Blockchain for Internet of Things Use Cases

Zaidi,

Usman,

Aftab

et al. 2023

IEEE Access

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The Internet of Things (IoT) connects many objects and allows continuous communication and data sharing has emerged as a revolutionary technology. However, expanding IoT devices has raised concerns regarding data security and access control. Traditional access control mechanisms face challenges in managing access rights, particularly in scenarios where multiple users with the same roles try to access several resources which may lead to conflicting roles. Additionally, there is also an overhead of system performance using traditional approaches. In existing studies, the main problem of conflict roles is not addressed or not even identified appropriately. This paper proposes a framework to address these challenges using blockchain technology and role-based access control with a smart contract implementation on the hyperledger fabric framework. The proposed methodology introduces a role management system that resolves conflicts based on predefined rules and user preferences. It employs a consensus mechanism to determine access permissions, ensuring fairness and accountability. The findings demonstrate that applying the suggested framework eliminates conflicting problems, improves system security and also provides better results in response times of twelve seconds on average for thirty-five concurrent user requests. It also provides a secure and transparent access control framework which improves response time and provides security based on roles.

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Section: Literature Reviewmentioning

confidence: 88%

Section: Background a Internet Of Thingsmentioning

confidence: 99%