Transparent and Tamper-Proof Event Ordering in the Internet of Things Platforms

【Author】 Rahman, Mahbubur; Saifullah, Abusayeed

【Source】IEEE INTERNET OF THINGS JOURNAL

【影响因子】10.238

【Abstract】Today, the audit and diagnosis of the causal relationships between the events in a trigger-action-based event chain (e.g., why is a light turned on in a smart home?) in the Internet of Things (IoT) platforms are untrustworthy and unreliable. The current IoT platforms lack techniques for transparent and tamper-proof ordering of events due to their device-centric logging mechanism. In this article, we develop a framework that facilitates tamper-proof transparency and event order in an IoT platform by proposing a Blockchain protocol and adopting the vector clock system, both tailored for the resource-constrained heterogeneous IoT devices, respectively. To cope with the unsuited storage (e.g., ledger) and computing power (e.g., proof-of-work puzzle) requirements of the Blockchain in the commercial off-the-shelf IoT devices, we propose a partial consistent cut protocol and engineer a modular arithmetic-based lightweight proof of work puzzle, respectively. To the best of our knowledge, this is the first Blockchain designed for resource-constrained heterogeneous IoT platforms. Our event ordering protocol based on the vector clock system is also novel for the IoT platforms. We implement our framework using an IoT gateway and 30 IoT devices. We experiment with ten concurrent trigger-action-based event chains while each chain involves 20 devices, and each device participates in five different chains. The results show that our framework may order these events in 2.5 s while consuming approximately 140 mJ of energy per device. The results, hence, demonstrate the proposed platform as a practical choice for many IoT applications, such as smart home, traffic monitoring, and crime investigation.

【Keywords】Internet of Things; Protocols; Logic gates; Blockchains; Peer-to-peer computing; Monitoring; Bitcoin; Blockchain; event order; Internet of Things (IoT); wireless network

【发表时间】2023 15-Mar

【收录时间】2023-05-25

【文献类型】理论模型

【主题类别】

区块链技术-协同技术-物联网