Technology of Information Security
|
1184-1190

Privacy preserving algorithm in indoor localization of multilevel sensitive areas

Song Weiran
Huang Xinyi
Le Yanfen
School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

With the development of urban intelligence, indoor positioning has become an important application basis for providing various location-based services. In some indoor application scenarios, the server-side needs to perform user access statistics for specific areas while ensuring the protection of user location privacy. To address this, this paper proposed a multi-level sensitive area indoor positioning algorithm based on Bloom filter and Paillier homomorphic encryption, aiming to protect user location privacy while enabling the server to judge whether a user had entered a sensitive area. The algorithm divided the indoor space based on the sensitivity level or category of areas, encrypted the data on the server-side and user-side using the Paillier algorithm, and designed an improved Bloom filter-based algorithm in the ciphertext domain to accomplish user location determination, thereby reducing the significant communication overhead and computational cost introduced by encryption operations. Experimental results on public data sets show that compared with existing spatial Bloom filter algorithms, the proposed hash array merging algorithm has a lower false positive probability with the same communication and computation overhead, and can also be extended to other applications to realize multi-class data set coding.

Foundation Support

国家自然科学基金资助项目(62172281)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.06.0349
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 4
Section: Technology of Information Security
Pages: 1184-1190
Serial Number: 1001-3695(2024)04-033-1184-07

Publish History

[2023-11-01] Accepted Paper
[2024-04-05] Printed Article

Cite This Article

宋威燃, 黄芯怡, 乐燕芬. 多级敏感区域室内定位中的隐私保护算法 [J]. 计算机应用研究, 2024, 41 (4): 1184-1190. (Song Weiran, Huang Xinyi, Le Yanfen. Privacy preserving algorithm in indoor localization of multilevel sensitive areas [J]. Application Research of Computers, 2024, 41 (4): 1184-1190. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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