Decentralized blockchain network for resisting side-channel attacks in mobility-based IoT
The inclusion of mobility-based Internet-of-Things (IoT) devices accelerates the data transmission process, thereby catering to IoT users’ demands; however, securing the data transmission in mobility-based IoT is one complex and challenging concern. The adoption of unified security architecture has...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Multidisciplinary Digital Publishing Institute (MDPI)
2022
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/103070/7/103070_Decentralized%20blockchain%20network%20for%20resisting_SCOPUS.pdf http://irep.iium.edu.my/103070/8/103070_Decentralized%20blockchain%20network%20for%20resisting.pdf http://irep.iium.edu.my/103070/ https://www.mdpi.com/2079-9292/11/23/3982/pdf?version=1671761778 https://doi.org/10.3390/electronics11233982 |
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| Summary: | The inclusion of mobility-based Internet-of-Things (IoT) devices accelerates the data transmission process, thereby catering to IoT users’ demands; however, securing the data transmission in mobility-based IoT is one complex and challenging concern. The adoption of unified security
architecture has been identified to prevent side-channel attacks in the IoT, which has been discussed
extensively in developing security solutions. Despite blockchain’s apparent superiority in withstanding a wide range of security threats, a careful examination of the relevant literature reveals that some
common pitfalls are associated with these methods. Therefore, the proposed scheme introduces a
novel computational security framework wherein a branched and decentralized blockchain network
is formulated to facilitate coverage from different variants of side-channel IoT attacks that are yet
to be adequately reported. A unique blockchain-based authentication approach is designed to secure communication among mobile IoT devices using multiple stages of security implementation
with Smart Agreement and physically unclonable functions. Analytical modeling with lightweight
finite field encryption is used to create this framework in Python. The study’s benchmark results
show that the proposed scheme offers 4% less processing time, 5% less computational overhead,
1% more throughput, 12% less latency, and 30% less energy consumption compared to existing
blockchain methods. |
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