Privacy preserving method based on Voronoi diagram in mobile crowd computing Article Swipe
Hao Long
,
Shukui Zhang
,
Jin Wang
,
Cheng‐Kuan Lin
,
Jia-Jun Cheng
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1177/1550147717739156
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1177/1550147717739156
With the development of mobile smartphones equipped with a large number of sensor devices, mobile crowd computing has become the hotspot of current research. In the application, the publishers use the application platform to release the task and then select the appropriate users to participate in the task by bidding and collect their data, in which the users’ identity, location, and other private information face the risk of disclosure. To solve the problem of privacy disclosure in mobile crowd computing, we propose a privacy preserving method based on Voronoi Polygon (PP - Voronoi). The users construct the Voronoi diagram to form a cloaked region hiding users identity and then calculate the anchor point of the cloaked region, by which the users communicate with the task publisher to achieve privacy protection of the cloaked region and K anonymity. The experimental results show that compared with other privacy preserving methods, PP-Voronoi method has better effectiveness of privacy protection and lower network traffic.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/1550147717739156
- https://journals.sagepub.com/doi/pdf/10.1177/1550147717739156
- OA Status
- gold
- Cited By
- 4
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2765269562
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W2765269562Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1177/1550147717739156Digital Object Identifier
- Title
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Privacy preserving method based on Voronoi diagram in mobile crowd computingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-10-01Full publication date if available
- Authors
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Hao Long, Shukui Zhang, Jin Wang, Cheng‐Kuan Lin, Jia-Jun ChengList of authors in order
- Landing page
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https://doi.org/10.1177/1550147717739156Publisher landing page
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https://journals.sagepub.com/doi/pdf/10.1177/1550147717739156Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://journals.sagepub.com/doi/pdf/10.1177/1550147717739156Direct OA link when available
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Computer science, Voronoi diagram, Privacy protection, Anonymity, Location-based service, Mobile device, Computer security, World Wide Web, Computer network, Geometry, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
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2021: 2, 2019: 2Per-year citation counts (last 5 years)
- References (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2287736905, https://openalex.org/W2116347193, https://openalex.org/W1982300822, https://openalex.org/W1973141741, https://openalex.org/W2159992568, https://openalex.org/W2324656523, https://openalex.org/W2027078869, https://openalex.org/W4239690541, https://openalex.org/W4241131507, https://openalex.org/W2914821974, https://openalex.org/W4317928033, https://openalex.org/W2912792263 |
| referenced_works_count | 12 |
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