Details

Autor(en) / Beteiligte

• Feng, Jingli
• Guo, Qinglei
• Xian, Kaiqiang
• Lang, Jiayi
• Wang, Hejian
• Bai, Desheng

Titel

Research and application of smart grid data sharing risk assessment method

Ist Teil von

• 2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST), 2022, p.899-902

Ort / Verlag

IEEE

Erscheinungsjahr

2022

Quelle

IEEE Xplore

Beschreibungen/Notizen

• At present, the smart grid has entered the stage of rapid construction and development, and the data interaction between various businesses and entities in the power industry is becoming closer and closer. However, the increasingly open network environment brings new challenges to the security management of data. It is urgent to ensure the safety of data assets under the rapid development of smart grid through effective risk assessment and risk prediction. Therefore, by analyzing the business scenarios and business models of smart grid, this paper forms a classification list of polymorphic data sharing risks of data loss risk, data leakage risk and data tampering risk, designs a data sharing risk measurement model, and carries out an example application of the risk measurement model combined with the "all in one network" business of electric power.