Research Article
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Published on 30 May 2023
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Lu,T. (2023). Research on big data privacy protection technology. Applied and Computational Engineering,4,642-644.
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Research on big data privacy protection technology

Tianyou Lu 1
  • 1 Wuhan Sannew School, Wuhan, Hubei, China, 430090

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/4/2023367

Abstract

The extensive application of big data technology makes data burst with unprecedented value and vitality. However, due to the large amount of data, many data sources, and complex data access relationships, the current development of privacy protection technology is seriously lagging behind the development of big data technology, which restricts the application and promotion of big data. At present, it is urgent to sort out the development status of big data privacy protection technology, so as to provide a reference for the research and breakthrough of key issues of big data privacy protection. This paper analyzes k-anonymity and differential privacy protection, and points out that a protection method that can reduce the cost of high-dimensional data processing and ignore the background knowledge requirements of attackers is urgently needed for privacy protection in big data scenarios. At the same time, this paper also puts forward suggestions for the application and future development of these technologies.

Keywords

Big Data, Privacy Protection, Data Privacy

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Cite this article

Lu,T. (2023). Research on big data privacy protection technology. Applied and Computational Engineering,4,642-644.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 3rd International Conference on Signal Processing and Machine Learning

Conference website: http://www.confspml.org
ISBN:978-1-915371-55-3(Print) / 978-1-915371-56-0(Online)
Conference date: 25 February 2023
Editor:Omer Burak Istanbullu
Series: Applied and Computational Engineering
Volume number: Vol.4
ISSN:2755-2721(Print) / 2755-273X(Online)

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