Privacy protection methods of location services in big data

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2022-01-01 DOI:10.1515/comp-2022-0250

Wenfeng Liu, Juanjuan Wu, Zhong Xi

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引用次数: 0

Abstract

Abstract The rapid development of mobile communication technology not only brings convenience and fun to our life, but also brings a series of problems such as privacy disclosure. Therefore, it is very necessary to study the privacy protection method based on location service to strengthen the security of location privacy. The purpose of this work is to improve the security of location privacy and prevent the disclosure of user privacy by studying the characteristics of location services and privacy protection methods. This article first describes the characteristics of the important location privacy protection law, and then studies the structural characteristics and operation process of the location privacy protection law. This work evaluates the advantages and disadvantages of different methods, and finally compares the performance of several privacy protection algorithms through experimental analysis. Through the research of hiding space method, two-level cache method based on user grid, differential privacy protection method and experimental analysis of the algorithm, an effective privacy protection algorithm can be obtained. It can better protect the location privacy of users. For example, dual-active in the hidden space algorithm has the best privacy protection performance. Compared with other algorithms, the success rate of generating hidden space is increased by more than 10%, and the time of generating hidden space is shortened by about a quarter. The algorithm It has certain practical value and significance for use in the privacy protection of users.

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大数据环境下定位服务的隐私保护方法

移动通信技术的飞速发展在给我们的生活带来便利和乐趣的同时，也带来了隐私泄露等一系列问题。因此，研究基于位置服务的隐私保护方法来加强位置隐私的安全性是非常必要的。本工作的目的是通过研究位置服务的特点和隐私保护方法，提高位置隐私的安全性，防止用户隐私的泄露。本文首先阐述了重要场所隐私保护法的特点，然后研究了重要场所隐私保护法的结构特点和运作过程。本工作评估了不同方法的优缺点，最后通过实验分析比较了几种隐私保护算法的性能。通过对隐藏空间方法、基于用户网格的两级缓存方法、差分隐私保护方法的研究，并对算法进行实验分析，得到了一种有效的隐私保护算法。它可以更好地保护用户的位置隐私。例如，隐藏空间中的双主动算法具有最佳的隐私保护性能。与其他算法相比，生成隐藏空间的成功率提高了10%以上，生成隐藏空间的时间缩短了约四分之一。该算法对用户隐私保护具有一定的实用价值和意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.