Research on Social Network Secunity Issues and Countermeasures Based on Big Data

Authors

  • Yue Xu

DOI:

https://doi.org/10.62051/ijcsit.v4n3.42

Keywords:

Big data, Social networks, Privacy protection, Network security, Data encryption

Abstract

In the current era of rapid advances in information technology, personal secrets and data protection in the social field are facing unprecedented challenges. The phenomena of privacy breaches, online fraud, data tampering, and social automation robots on social platforms pose a serious threat to users and platforms. This article delves into the core security risks faced by social networks in the era of big data, and proposes corresponding solutions from the perspectives of technology, privacy protection, and social collaboration, such as data encryption technology, multiple authentication mechanisms, abnormal behavior monitoring, and the construction of a network security education system. Through the dual means of technology and management, social platforms are expected to significantly enhance data security protection and reduce potential security risks.

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References

[1] Wang, Shengzhou, Shuxia Liu. "Research on Personal Credit Reporting Issues in the Social Network Big Data Environment." Credit Reporting 41.9 (2023): 23-28.

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[7] Guo, Guifei. "Research on Multi-modal Secure Content Search in Online Social Networks Based on Deep Reinforcement Learning." Network Security Technology and Applications 6 (2023): 41-42.

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Published

21-12-2024

Issue

Section

Articles

How to Cite

Xu, Y. (2024). Research on Social Network Secunity Issues and Countermeasures Based on Big Data. International Journal of Computer Science and Information Technology, 4(3), 373-379. https://doi.org/10.62051/ijcsit.v4n3.42