Decentralized blockchain network for resisting side-channel attacks in mobility-based IoT

• Main Authors: Olanrewaju, Rashidah Funke, Khan, Burhan Ul Islam, Mat Kiah, Miss Laiha, Abdullah, Nor Aniza, Goh, Khang Wen
• Format: Article
• Language: English; English
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2022
• Subjects: T Technology (General); T10.5 Communication of technical information; T58.5 Information technology
• 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

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.