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  4. Vol 9, Issue 1, 2025

Research on Power Information Security Protection and Big Data Privacy Protection in Internet Communication

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DOI: 10.23977/cpcs.2025.090115 | Downloads: 1 | Views: 38

Author(s)

Yong Fu 1

Affiliation(s)

1 Beijing Remarkables United Technology Co., Ltd., Beijing, 100192, China

Corresponding Author

Yong Fu

ABSTRACT

This paper conducts a systematic study on the multimedia communication security and big data privacy protection problems faced during the Internet-based transformation of power systems. It analyzes the unique systematic security risks, new attack surfaces, and privacy protection requirements in the power Internet communication environment, and constructs a "proactive defense-privacy enhancement" dual-drive technology system. On the security protection level, it proposes a data encryption transmission scheme based on domestic cryptographic algorithms, a zero-trust dynamic access control mechanism, a multimedia steganography detection method, and a collaborative emergency response system. On the privacy protection level, it innovatively adopts dynamic anonymization and differential privacy fusion technology, a federated learning framework, and a full lifecycle security management system. Empirical application through a provincial power company shows that the system can reduce the incidence of security events by more than 75% and achieve privacy control while ensuring business real-time performance. The research provides a systematic solution for building a secure and reliable power Internet communication environment, and has important practical value for promoting the construction of a new type of power system.

KEYWORDS

Power Information Security; Privacy Protection; Internet Communication; Big Data

CITE THIS PAPER

Yong Fu, Research on Power Information Security Protection and Big Data Privacy Protection in Internet Communication. Computing, Performance and Communication Systems (2025) Vol. 9: 115-121. DOI: http://dx.doi.org/10.23977/cpcs.2025.090115.

REFERENCES

[1] Lin Zhiang, Zhang Yunxuan, Chen Jianbin. Active Risk Warning for Power Network Security Based on Big Data [J]. Electric Power Equipment Management, 2025, (08): 242-244.
[2] Liu Sijun, Huang Xiaokun, Zhou Yue. Research on the Current Situation and Countermeasures of Data Security Protection in Power System [J]. Electrical Equipment and Economy, 2025, (09): 253-255.
[3] Bai Bing, Er Dun, Zhang Jing, et al. Dynamic Bad Information Security Filtering Method for Big Data in Power Information System [J]. Industrial Control Computer, 2025, 38(07): 113-114.
[4] Wang Lin. Research on Power Network Data Security and Privacy Protection Algorithms Based on Hybrid Encryption [J]. Computing Technology and Automation, 2025, 44(01): 7-11.
[5] Wu Zicheng. Analysis of Power Network Data Security and Privacy Protection Technologies Based on Internet of Things [J]. Application of IC, 2025, 42(06): 328-329.
[6] Chu Yunfei, Wang Yong, Du Xuguang, et al. Digital Grid Middle Platform Data Security Sharing Method for Business Domain [J]. Information Technology, 2025, (05): 162-167+173.
[7] Cui Shunju, Liu Yiqing, Ren Tianyi, et al. Power Internet Business Data Security Transmission Method Based on National Cryptographic Algorithm [J]. Electric Power Equipment Management, 2025, (09): 233-235.

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