Implementation of Improved Raft Consensus Algorithm in IoT Information Security Management

In the context of the rapid expansion of the Internet of Things, information security management has become particularly crucial. In response to the performance bottleneck of traditional Raft consensus algorithms, this study proposes an improved Raft algorithm that combines density noise spatial clustering algorithm and vote change mechanism, aiming to improve the quantity processing efficiency and consistency of Internet of Things systems in large-scale environments. Firstly, a density noise spatial clustering algorithm is added to the traditional Raft algorithm to partition all consensus nodes into multiple sub clusters. Subsequently, a vote change mechanism is introduced to optimize the leadership election process. Finally, an Internet of Things information security management model is built using the improved Raft algorithm. The results showed that the improved Raft algorithm could complete 500 client requests in just 9.5 minutes of consensus trading time. The log replication accuracy of the management model built using this algorithm under four bandwidth conditions of 0.5Mbps, 5Mbps, 50Mbps, and 500Mbps was as high as 0.98, 0.99, 0.98, and 0.97, respectively. Therefore, the designed consensus algorithm not only has good data processing capabilities, but the model built using this algorithm can also achieve good performance in practical applications.

@article{Zhang2024,
  title     = {Implementation of Improved Raft Consensus Algorithm in IoT Information Security Management},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {6},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Mingzhen Zhang},
  doi       = {10.14569/IJACSA.2024.0150617},
  url       = {https://doi.org/10.14569/IJACSA.2024.0150617}
}