{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T03:30:02Z","timestamp":1782185402463,"version":"3.54.5"},"reference-count":31,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2023,3,2]],"date-time":"2023-03-02T00:00:00Z","timestamp":1677715200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272006"],"award-info":[{"award-number":["62272006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["GXXT-2019-040"],"award-info":[{"award-number":["GXXT-2019-040"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"University Collaborative Innovation Project of Anhui Province","award":["62272006"],"award-info":[{"award-number":["62272006"]}]},{"name":"University Collaborative Innovation Project of Anhui Province","award":["GXXT-2019-040"],"award-info":[{"award-number":["GXXT-2019-040"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>With the rapid development of mobile positioning technologies, location-based services (LBSs) have become more widely used. The amount of user location information collected and applied has increased, and if these datasets are directly released, attackers may infer other unknown locations through partial background knowledge in their possession. To solve this problem, a privacy-preserving method for trajectory data publication based on local preferential anonymity (LPA) is proposed. First, the method considers suppression, splitting, and dummy trajectory adding as candidate techniques. Second, a local preferential (LP) function based on the analysis of location loss and anonymity gain is designed to effectively select an anonymity technique for each anonymous operation. Theoretical analysis and experimental results show that the proposed method can effectively protect the privacy of trajectory data and improve the utility of anonymous datasets.<\/jats:p>","DOI":"10.3390\/info14030157","type":"journal-article","created":{"date-parts":[[2023,3,3]],"date-time":"2023-03-03T01:43:00Z","timestamp":1677807780000},"page":"157","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Privacy-Preserving Method for Trajectory Data Publication Based on Local Preferential Anonymity"],"prefix":"10.3390","volume":"14","author":[{"given":"Xiao","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu 241003, China"},{"name":"Anhui Provincial Key Laboratory of Network and Information Security, Wuhu 241003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4987-0376","authenticated-orcid":false,"given":"Yonglong","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu 241003, China"},{"name":"Anhui Provincial Key Laboratory of Network and Information Security, Wuhu 241003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingying","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu 241003, China"},{"name":"Anhui Provincial Key Laboratory of Network and Information Security, Wuhu 241003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lina","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu 241003, China"},{"name":"Anhui Provincial Key Laboratory of Network and Information Security, Wuhu 241003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhonghao","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu 241003, China"},{"name":"Anhui Provincial Key Laboratory of Network and Information Security, Wuhu 241003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"10562","DOI":"10.1109\/ACCESS.2017.2706947","article-title":"Privacy-preserving Data Mining: Methods, Metrics, and Applications","volume":"5","author":"Mendes","year":"2017","journal-title":"IEEE Access"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Naji, H.A., Wu, C., and Zhang, H. 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