| Title | Effective Metrics Modeling of Big Data Technology in Electric Power Information Security |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Wu, Haijiang |
| Conference Name | 2022 6th International Conference on Computing Methodologies and Communication (ICCMC) |
| Keywords | Analytical models, Big Data, Computational modeling, Costs, Current measurement, Effective Metrics Modeling, electric power, Information security, Metrics, Power measurement, pubcrawl, security metrics |
| Abstract | This article focuses on analyzing the application characteristics of electric power big data, determining the advantages that electric power big data provides to the development of enterprises, and expounding the power information security protection technology and management measures under the background of big data. Focus on the protection of power information security, and fundamentally control the information security control issues of power enterprises. Then analyzed the types of big data structure and effective measurement modeling, and finally combined with the application status of big data concepts in the construction of electric power information networks, and proposed optimization strategies, aiming to promote the effectiveness of big data concepts in power information network management activities. Applying the creation conditions, the results show that the measurement model is improved by 7.8% |
| DOI | 10.1109/ICCMC53470.2022.9753903 |
| Citation Key | wu_effective_2022 |
Effective Metrics Modeling of Big Data Technology in Electric Power Information Security