Research on Data Security Protection Method Based on Big Data Technology

• Main Authors: Liu, Donglan, Wang, Rui, Zhang, Hao, Ma, Lei, Liu, Xin, Huang, Hua, Chang, Yingxian
• Format: Conference Proceeding
• Language: English
• Subjects: Big Data; data life cycle; Data security; data security protection; Power grids; Power measurement; Power system dynamics; Sensitivity; smart grid; Software; ubiquitous power Internet of things
• ISSN: 2472-8489
• DOI: 10.1109/ICCSN49894.2020.9139118

The construction of power Internet of things is an important development direction of power grid enterprises in the future. Big data not only brings economic and social benefits to the power system industry, but also brings many information security problems. Therefore, in the case of accelerating the construction of ubiquitous electric Internet of things, it is urgent to standardize the data security protection in the ubiquitous electric Internet of things environment. By analyzing the characteristics of big data in power system, this paper discusses the security risks faced by big data in power system. Finally, we propose some methods of data security protection based on the defects of big data security in current power system. By building a data security intelligent management and control platform, it can automatically discover and identify the types and levels of data assets, and build a classification and grading information base of dynamic data assets. And through the detection and identification of data labels and data content characteristics, tracking the use of data flow process. So as to realize the monitoring of data security state. By protecting sensitive data against leakage based on the whole life cycle of data, the big data security of power grid informatization can be effectively guaranteed and the safety immunity of power information system can be improved.