| Title | Trusted Dynamic Threshold Caculation Method in Power IoT |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Dang, Fangfang, Yan, Lijing, Li, Shuai, Li, Dingding |
| Conference Name | 2022 14th International Conference on Communication Software and Networks (ICCSN) |
| Date Published | jun |
| Keywords | ARMA, Computational modeling, Information security, Poisson process, Power system dynamics, Predictive models, pubcrawl, R/S analysis method, Resiliency, Scalability, Smart grid, Smart grids, Software, Stochastic Computing Security, Trusted Computing, trusted dynamic threshold |
| Abstract | Smart grid is a new generation of grid that inte-grates traditional grid and grid information system, and infor-mation security of smart grid is an extremely important part of the whole grid. The research of trusted computing technology provides new ideas to protect the information security of the power grid. To address the problem of large deviations in the calculation of credible dynamic thresholds due to the existence of characteristics such as self-similarity and traffic bursts in smart grid information collection, a traffic prediction model based on ARMA and Poisson process is proposed. And the Hurst coefficient is determined more accurately using R/S analysis, which finally improves the efficiency and accuracy of the trusted dynamic threshold calculation. |
| DOI | 10.1109/ICCSN55126.2022.9817608 |
| Citation Key | dang_trusted_2022 |
Trusted Dynamic Threshold Caculation Method in Power IoT