ARES: An anonymous region expanding system for location privacy preservation.
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| Title: | ARES: An anonymous region expanding system for location privacy preservation. |
|---|---|
| Authors: | Zhang, Lei1,2,3 (AUTHOR), Liu, Yutao1,2,3 (AUTHOR), Wang, Zhenyu1,2,3 (AUTHOR), Chang, Liang1,2,3 (AUTHOR) 8213662@163.com |
| Source: | Measurement (02632241). May2026, Vol. 272, pN.PAG-N.PAG. 1p. |
| Subjects: | Quadtrees, Privacy, Anonymity |
| Abstract: | [Display omitted] • A region expanding system avoiding high anonymous user density is proposed; ARES protects initiators' location privacy from adversaries. • Initiator locates in irregular regions rather than center points, resisting center-selection and density attacks. • Experimental results demonstrate ARES outperforms existing systems in privacy preservation and efficiency. Generalization is a common strategy for privacy preservation, but in the process of generalization, anonymous users are usually selected by the initiator from nearby candidates, which makes the initiator often located at the center and easily predictable by the adversary. Moreover, a higher density of anonymous users in the anonymous region usually leads to excessive concentration, which can also be used to jeopardize the initiator's location privacy. To address the above issues, based on the discretized distances among anonymous users, a new location privacy preservation system is proposed. In this system, the region where the initiator is located is divided into discrete areas according to the density of anonymous users, and then these areas are linked by the Hilbert curve in the order of increasing user distance. After that, the density of each area is stored in different nodes and establishes a n -level location quadtree. With this tree, the initiator can choose a suitable number of anonymous users in different areas according to discrete degree, and then generalize the initiator's true location. In addition, as the initiator is no longer located at the center of the region, the proposed system can also effectively resist the attack of center selecting, identical PoI attack and density difference attack as well as some other types of attacks. Finally, an engineering application and theoretical analysis of the proposed system is given, and the proposed system is also compared with several similar systems. [ABSTRACT FROM AUTHOR] |
| Copyright of Measurement (02632241) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192790291 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: ARES: An anonymous region expanding system for location privacy preservation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Lei%22">Zhang, Lei</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yutao%22">Liu, Yutao</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Zhenyu%22">Wang, Zhenyu</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chang%2C+Liang%22">Chang, Liang</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> 8213662@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Measurement+%2802632241%29%22">Measurement (02632241)</searchLink>. May2026, Vol. 272, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Quadtrees%22">Quadtrees</searchLink><br /><searchLink fieldCode="DE" term="%22Privacy%22">Privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Anonymity%22">Anonymity</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: [Display omitted] • A region expanding system avoiding high anonymous user density is proposed; ARES protects initiators' location privacy from adversaries. • Initiator locates in irregular regions rather than center points, resisting center-selection and density attacks. • Experimental results demonstrate ARES outperforms existing systems in privacy preservation and efficiency. Generalization is a common strategy for privacy preservation, but in the process of generalization, anonymous users are usually selected by the initiator from nearby candidates, which makes the initiator often located at the center and easily predictable by the adversary. Moreover, a higher density of anonymous users in the anonymous region usually leads to excessive concentration, which can also be used to jeopardize the initiator's location privacy. To address the above issues, based on the discretized distances among anonymous users, a new location privacy preservation system is proposed. In this system, the region where the initiator is located is divided into discrete areas according to the density of anonymous users, and then these areas are linked by the Hilbert curve in the order of increasing user distance. After that, the density of each area is stored in different nodes and establishes a n -level location quadtree. With this tree, the initiator can choose a suitable number of anonymous users in different areas according to discrete degree, and then generalize the initiator's true location. In addition, as the initiator is no longer located at the center of the region, the proposed system can also effectively resist the attack of center selecting, identical PoI attack and density difference attack as well as some other types of attacks. Finally, an engineering application and theoretical analysis of the proposed system is given, and the proposed system is also compared with several similar systems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Measurement (02632241) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.measurement.2026.121056 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Quadtrees Type: general – SubjectFull: Privacy Type: general – SubjectFull: Anonymity Type: general Titles: – TitleFull: ARES: An anonymous region expanding system for location privacy preservation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Lei – PersonEntity: Name: NameFull: Liu, Yutao – PersonEntity: Name: NameFull: Wang, Zhenyu – PersonEntity: Name: NameFull: Chang, Liang IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 02632241 Numbering: – Type: volume Value: 272 Titles: – TitleFull: Measurement (02632241) Type: main |
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