Article Details

Abstract

With the development of the Internet and Big Data technology, network tracking has become a social concern, but there are problems such as slow speed and insufficient privacy protection in the process of network tracking. To address these issues, the paper proposes a network tracking scheme based on Complex Networks and Differential Privacy. It adopts Complex Networks as the underlying topology structure of the real network environment, effectively improving the speed of network tracking. At the same time, the Laplace mechanism in Differential Privacy technology is introduced to encrypt and process the dataset obtained during network tracking, protecting the network access information of user nodes and effectively safeguarding user privacy. Finally, scheme implementation, experimental testing, and result analysis are conducted to analyze the time consumed in the Network Tracking scheme and the dataset to be publicly released after calculation. The analysis results show that the scheme is efficient and secure.

Keywords

Complex Network; Differential Privacy; network tracking; privacy protection

References

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Funding

Wuchang Institute of Technology Campus level Scientific Research Project (2024KY09)

About the authors

Zhao Wanxiong (1997-), male, Han ethnicity, from Xiantao, Hubei, teacher, master's degree, research direction: applied cryptography and privacy protection, computer applications; Xie Yufeng (1997-), male, Han nationality, from Jiujiang, Jiangxi Province, teacher, master, research direction: complex system modeling and analysis, Internet technology.