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Author:

Wang, Siyu (Wang, Siyu.) | Zhu, Nafei (Zhu, Nafei.) | He, Jingsha (He, Jingsha.) | Teng, Da (Teng, Da.) | Yang, Yue (Yang, Yue.)

Indexed by:

Scopus

Abstract:

Privacy protection is a hot topic in network security. Many scholars are committed to evaluating privacy information disclosure by quantifying privacy, thereby protecting privacy and preventing telecommunications fraud. However, in the process of quantitative privacy, few people consider the reasoning relationship between privacy information, which leads to the underestimation of privacy disclosure and privacy disclosure caused by malicious reasoning. This paper completes an experiment on privacy information disclosure in the real world based on WordNet ontology. According to a privacy measurement algorithm, this experiment calculates the privacy disclosure of public figures in different fields and conducts horizontal and vertical analysis to obtain different privacy disclosure characteristics. The experiment not only shows the situation of privacy disclosure, but also gives suggestions and method to reduce privacy disclosure.

Keyword:

Path Traversing Privacy Disclosed Experiment Ontology Relationship Privacy Quantification Quantization Algorithm Information Protect Privacy Protection Ontology

Author Community:

  • [ 1 ] [Wang, Siyu]Beijing Univ Technol, Beijing, Peoples R China
  • [ 2 ] [Zhu, Nafei]Beijing Univ Technol, Beijing, Peoples R China
  • [ 3 ] [He, Jingsha]Beijing Univ Technol, Beijing, Peoples R China
  • [ 4 ] [Teng, Da]Beijing Univ Technol, Beijing, Peoples R China
  • [ 5 ] [Yang, Yue]Beijing Univ Technol, Beijing, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF INFORMATION SECURITY AND PRIVACY

ISSN: 1930-1650

Year: 2022

Issue: 1

Volume: 16

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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