Comprehensive location privacy enhanced model
Summary: With the increasing popularity of location-based services (LBSs), safeguarding location privacy has become critically important. Traditional methods often struggle to balance the intensity of privacy protection with service quality. To address this challenge, this research proposes the comp...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | iScience |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004224026373 |
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| _version_ | 1846113143329128448 |
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| author | Haohua Qing Roliana Ibrahim Hui Wen Nies |
| author_facet | Haohua Qing Roliana Ibrahim Hui Wen Nies |
| author_sort | Haohua Qing |
| collection | DOAJ |
| description | Summary: With the increasing popularity of location-based services (LBSs), safeguarding location privacy has become critically important. Traditional methods often struggle to balance the intensity of privacy protection with service quality. To address this challenge, this research proposes the comprehensive location privacy enhanced model (CLPEM), which enhances personalized privacy protection by integrating dynamic weight allocation at the policy layer, incorporating a user feedback mechanism, and designing tailored privacy strategies for various scenarios. Additionally, the model employs data fusion and optimization techniques to enhance the usability of location data while ensuring effective privacy protection. Our experimental results demonstrate that CLPEM outperforms existing technologies in terms of privacy strength, data availability, and user satisfaction, providing a robust technical framework for location privacy and paving the way for future research and applications. |
| format | Article |
| id | doaj-art-5ff28955ce3644c9844e51341b5e95dc |
| institution | Kabale University |
| issn | 2589-0042 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj-art-5ff28955ce3644c9844e51341b5e95dc2024-12-22T05:29:17ZengElsevieriScience2589-00422024-12-012712111412Comprehensive location privacy enhanced modelHaohua Qing0Roliana Ibrahim1Hui Wen Nies2Department of Applied Computing and Artificial Intelligence, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Johor 81310, Malaysia; Corresponding authorDepartment of Applied Computing and Artificial Intelligence, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Johor 81310, MalaysiaDepartment of Applied Computing and Artificial Intelligence, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Johor 81310, MalaysiaSummary: With the increasing popularity of location-based services (LBSs), safeguarding location privacy has become critically important. Traditional methods often struggle to balance the intensity of privacy protection with service quality. To address this challenge, this research proposes the comprehensive location privacy enhanced model (CLPEM), which enhances personalized privacy protection by integrating dynamic weight allocation at the policy layer, incorporating a user feedback mechanism, and designing tailored privacy strategies for various scenarios. Additionally, the model employs data fusion and optimization techniques to enhance the usability of location data while ensuring effective privacy protection. Our experimental results demonstrate that CLPEM outperforms existing technologies in terms of privacy strength, data availability, and user satisfaction, providing a robust technical framework for location privacy and paving the way for future research and applications.http://www.sciencedirect.com/science/article/pii/S2589004224026373Computer scienceArtificial intelligenceComputer security and privacy |
| spellingShingle | Haohua Qing Roliana Ibrahim Hui Wen Nies Comprehensive location privacy enhanced model iScience Computer science Artificial intelligence Computer security and privacy |
| title | Comprehensive location privacy enhanced model |
| title_full | Comprehensive location privacy enhanced model |
| title_fullStr | Comprehensive location privacy enhanced model |
| title_full_unstemmed | Comprehensive location privacy enhanced model |
| title_short | Comprehensive location privacy enhanced model |
| title_sort | comprehensive location privacy enhanced model |
| topic | Computer science Artificial intelligence Computer security and privacy |
| url | http://www.sciencedirect.com/science/article/pii/S2589004224026373 |
| work_keys_str_mv | AT haohuaqing comprehensivelocationprivacyenhancedmodel AT rolianaibrahim comprehensivelocationprivacyenhancedmodel AT huiwennies comprehensivelocationprivacyenhancedmodel |