Systematic Evaluation of Geolocation Privacy Mechanisms Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2309.06263
Location data privacy has become a serious concern for users as Location Based Services (LBSs) have become an important part of their life. It is possible for malicious parties having access to geolocation data to learn sensitive information about the user such as religion or political views. Location Privacy Preserving Mechanisms (LPPMs) have been proposed by previous works to ensure the privacy of the shared data while allowing the users to use LBSs. But there is no clear view of which mechanism to use according to the scenario in which the user makes use of a LBS. The scenario is the way the user is using a LBS (frequency of reports, number of reports). In this paper, we study the sensitivity of LPPMs on the scenario on which they are used. We propose a framework to systematically evaluate LPPMs by considering an exhaustive combination of LPPMs, attacks and metrics. Using our framework we compare a selection of LPPMs including an improved mechanism that we introduce. By evaluating over a variety of scenarios, we find that the efficacy (privacy, utility, and robustness) of the studied mechanisms is dependent on the scenario: for example the privacy of Planar Laplace geo-indistinguishability is greatly reduced in a continuous scenario. We show that the scenario is essential to consider when choosing an obfuscation mechanism for a given application.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2309.06263
- https://arxiv.org/pdf/2309.06263
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386721987
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4386721987Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2309.06263Digital Object Identifier
- Title
-
Systematic Evaluation of Geolocation Privacy MechanismsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-12Full publication date if available
- Authors
-
Alban Héon, Ryan Sheatsley, Quinn Burke, Blaine Hoak, Eric Pauley, Yohan Beugin, Patrick McDanielList of authors in order
- Landing page
-
https://arxiv.org/abs/2309.06263Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2309.06263Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2309.06263Direct OA link when available
- Concepts
-
Geolocation, Computer science, Obfuscation, Location-based service, Cloaking, Computer security, Variety (cybernetics), Privacy software, Robustness (evolution), Information sensitivity, Information privacy, Internet privacy, World Wide Web, Computer network, Gene, Metamaterial, Physics, Artificial intelligence, Biochemistry, Optoelectronics, ChemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Using | 149 |
| abstract_inverted_index.about | 38 |
| abstract_inverted_index.clear | 77 |
| abstract_inverted_index.given | 221 |
| abstract_inverted_index.learn | 35 |
| abstract_inverted_index.life. | 22 |
| abstract_inverted_index.makes | 92 |
| abstract_inverted_index.study | 118 |
| abstract_inverted_index.their | 21 |
| abstract_inverted_index.there | 74 |
| abstract_inverted_index.used. | 130 |
| abstract_inverted_index.users | 9, 69 |
| abstract_inverted_index.using | 105 |
| abstract_inverted_index.which | 80, 89, 127 |
| abstract_inverted_index.while | 66 |
| abstract_inverted_index.works | 57 |
| abstract_inverted_index.(LBSs) | 14 |
| abstract_inverted_index.LPPMs, | 145 |
| abstract_inverted_index.Planar | 195 |
| abstract_inverted_index.access | 30 |
| abstract_inverted_index.become | 4, 16 |
| abstract_inverted_index.ensure | 59 |
| abstract_inverted_index.having | 29 |
| abstract_inverted_index.number | 111 |
| abstract_inverted_index.paper, | 116 |
| abstract_inverted_index.shared | 64 |
| abstract_inverted_index.views. | 46 |
| abstract_inverted_index.(LPPMs) | 51 |
| abstract_inverted_index.Laplace | 196 |
| abstract_inverted_index.Privacy | 48 |
| abstract_inverted_index.attacks | 146 |
| abstract_inverted_index.compare | 153 |
| abstract_inverted_index.concern | 7 |
| abstract_inverted_index.example | 191 |
| abstract_inverted_index.greatly | 199 |
| abstract_inverted_index.parties | 28 |
| abstract_inverted_index.privacy | 2, 61, 193 |
| abstract_inverted_index.propose | 132 |
| abstract_inverted_index.reduced | 200 |
| abstract_inverted_index.serious | 6 |
| abstract_inverted_index.studied | 183 |
| abstract_inverted_index.variety | 169 |
| abstract_inverted_index.Location | 0, 11, 47 |
| abstract_inverted_index.Services | 13 |
| abstract_inverted_index.allowing | 67 |
| abstract_inverted_index.choosing | 215 |
| abstract_inverted_index.consider | 213 |
| abstract_inverted_index.efficacy | 176 |
| abstract_inverted_index.evaluate | 137 |
| abstract_inverted_index.improved | 160 |
| abstract_inverted_index.metrics. | 148 |
| abstract_inverted_index.possible | 25 |
| abstract_inverted_index.previous | 56 |
| abstract_inverted_index.proposed | 54 |
| abstract_inverted_index.religion | 43 |
| abstract_inverted_index.reports, | 110 |
| abstract_inverted_index.scenario | 87, 98, 125, 209 |
| abstract_inverted_index.utility, | 178 |
| abstract_inverted_index.(privacy, | 177 |
| abstract_inverted_index.according | 84 |
| abstract_inverted_index.dependent | 186 |
| abstract_inverted_index.essential | 211 |
| abstract_inverted_index.framework | 134, 151 |
| abstract_inverted_index.important | 18 |
| abstract_inverted_index.including | 158 |
| abstract_inverted_index.malicious | 27 |
| abstract_inverted_index.mechanism | 81, 161, 218 |
| abstract_inverted_index.political | 45 |
| abstract_inverted_index.reports). | 113 |
| abstract_inverted_index.scenario. | 204 |
| abstract_inverted_index.scenario: | 189 |
| abstract_inverted_index.selection | 155 |
| abstract_inverted_index.sensitive | 36 |
| abstract_inverted_index.(frequency | 108 |
| abstract_inverted_index.Mechanisms | 50 |
| abstract_inverted_index.Preserving | 49 |
| abstract_inverted_index.continuous | 203 |
| abstract_inverted_index.evaluating | 166 |
| abstract_inverted_index.exhaustive | 142 |
| abstract_inverted_index.introduce. | 164 |
| abstract_inverted_index.mechanisms | 184 |
| abstract_inverted_index.scenarios, | 171 |
| abstract_inverted_index.combination | 143 |
| abstract_inverted_index.considering | 140 |
| abstract_inverted_index.geolocation | 32 |
| abstract_inverted_index.information | 37 |
| abstract_inverted_index.obfuscation | 217 |
| abstract_inverted_index.robustness) | 180 |
| abstract_inverted_index.sensitivity | 120 |
| abstract_inverted_index.application. | 222 |
| abstract_inverted_index.systematically | 136 |
| abstract_inverted_index.geo-indistinguishability | 197 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.7300000190734863 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile |