Efficient Byzantine Consensus MechanismBased on Reputation in IoT Blockchain
Xu Yuan, Fang Luo, Muhammad Zeeshan Haider, Zhikui Chen, and Yucheng Li

TL;DR
This paper introduces the EBRC consensus mechanism for IoT blockchains, improving reliability, throughput, and security by evaluating node reputation, addressing scalability and efficiency issues in traditional algorithms.
Contribution
The paper presents a novel reputation-based consensus algorithm tailored for IoT blockchain systems, enhancing performance and security over existing methods.
Findings
Lower consensus delay compared to traditional algorithms
Higher throughput and security in experiments
Reduced verification costs in IoT blockchain scenarios
Abstract
Blockchain technology has advanced rapidly in recent years and is now widely used in a variety of fields. Blockchain appears to be one of the best solutions for managing massive heterogeneous devices while achieving advanced data security and data reputation, particularly in the field of large-scale IoT (Internet of Things) networks. Despite the numerous advantages, there are still challenges while deploying IoT applications on blockchain systems due to the limited storage, power, and computing capability of IoT devices, and some of these problems are caused by the consensus algorithm, which plays a significant role in blockchain systems by ensuring overall system reliability and robustness. Nonetheless, most existing consensus algorithms are prone to poor node reliability, low transaction per second (TPS) rates, and scalability issues. Aiming at some critical problems in the existing…
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Taxonomy
TopicsBlockchain Technology Applications and Security · IoT and Edge/Fog Computing · Big Data and Digital Economy
