WITHDRAWN: Enhanced security in IOT environment using Blockchain: A survey

Ramamoorthi, S.; Kumar, Brijesh; Sithik, M. Mohamed; Kumar, T. Thinesh; Ragaventhiran, J.; Islabudeen, M.

doi:10.1016/j.matpr.2021.03.346

Cited by 10 publications

(2 citation statements)

References 11 publications

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“…The study can be further enhanced towards the available solutions to secure IoT involving blockchain technology, machine learning-based, and computing-based solutions. [69] The survey focused on data security, having zero concern with user authentication. This ultimately makes the system vulnerable to node capture attacks, booting or access attacks, and data theft attacks.…”

Section: B Security In Iotmentioning

confidence: 99%

Security in Internet of Things: A Review

2022

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Internet of Things (IoT) is the paramount virtual network that enables remote users to access connected multimedia devices. It has dragged the attention of the community because it encompasses realworld scenarios with implicit environs. Despite several beneficial aspects, IoT is surrounded by provocations for successful implementation, as data travels in different layers. One of the critical challenges is the security of the data in these layers. Researchers conducted numerous studies focused on the level of security at a single technique, creating loopholes to address the entire scenario of securing an IoT network. This study aims to comprehensively review current security issues, wireless communication techniques, and technologies for securing IoT. This work's utmost significance is addressing all the security perspectives at a glance. For this purpose, research contributions from the previous years are investigated for better understanding. Some countermeasures and snags from security perspectives have also been analyzed in detail concerning the current industry trends. Blockchain, machine learning, fog, and edge computing are possible solutions to secure IoT. After studying these techniques and their immunity to attacks, machine learning can become a hope if incorporated with end-to-end security. This comprehensive review will provide adequate understanding and knowledge in defining security lines of action for the successful implementation of IoT.

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Section: B Security In Iotmentioning

confidence: 99%

Security in Internet of Things: A Review

2022

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“…Therefore, it provides a more resilient system than traditional centralized databases. Since data are a main source in managing pandemics such as COVID-19, securing data is vital for DRM Yue et al ( 2016 ), Aitzhan and Svetinovic ( 2018 ), Panesir ( 2018 ), Fabri and Fabri ( 2019 ), Rashid et al ( 2020 ), Spathoulas et al ( 2020 ), Mayuranathan et al ( 2021 ), Ramamoorthi et al ( 2021 ) Greater Transparency (C 2 ) Transparency is vital for proper planning and effective execution of operations in DRM. All transactions in a blockchain are propagated to all nodes within the network, ensuring that the system's transactions are transparent and auditable.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Leveraging blockchain in response to a pandemic through disaster risk management: an IF-MCDM framework

Peker

Erol

et al. 2022

Oper Manag Res

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The COVID-19 pandemic has underscored the necessity for strategic approaches to manage global catastrophes. This study argues that disaster risk management (DRM) is an essential approach to mitigate the impact of global calamities, such as a pandemic. However, due to the uncertainty emerging from variables such as time and demand, managing DRM effectively involves high complexity. Blockchain technology (BcT) can be implemented to help address these challenges due to its potential to build trust, transparency, and accountability in complex operations. However, no research has quantitatively examined the applicability of BcT in the sub-dimensions of DRM to address the COVID-19 pandemic. The goal and scope of this study is to explore the role of BcT in DRM operations during the COVID-19 pandemic through an Intuitionistic Fuzzy Multi-Criteria Decision Making (IF-MCDM) framework. More specifically, the Intuitionistic Fuzzy Analytic Network Process (IF-ANP) method was utilized to calculate the weights of key criteria (i.e., BcT benefits), while Intuitionistic Fuzzy VIKOR (IF-VIKOR) was used to prioritize the alternatives (i.e., the sub-dimensions of DRM). The findings of this study are threefold. First, supporting effective coordination turned out to be the most essential benefit of BcT to build resilience in response to the COVID-19 pandemic. Second, disaster management was found to be the most appropriate DRM sub-dimension for possible BcT implementation during the COVID-19 pandemic. Lastly, eleven distinct activities involved in disaster management and governance and financial protection were discovered to be the most applicable for BcT. The findings of this study could assist disaster risk managers to assess whether (or not) BcT is suitable for the sub-dimensions of DRM to build national and organizational resilience in the wake of the COVID-19 pandemic.

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