{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,7]],"date-time":"2025-12-07T21:14:14Z","timestamp":1765142054906},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,12,11]],"date-time":"2022-12-11T00:00:00Z","timestamp":1670716800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,12,11]],"date-time":"2022-12-11T00:00:00Z","timestamp":1670716800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1007\/s12652-022-04481-w","type":"journal-article","created":{"date-parts":[[2022,12,11]],"date-time":"2022-12-11T17:02:26Z","timestamp":1670778146000},"page":"2233-2247","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["SGTP: A Spatiotemporal Generalized Trajectory Publishing Method With Differential Privacy"],"prefix":"10.1007","volume":"14","author":[{"given":"Shuyuan","family":"Qiu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dechang","family":"Pi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanxue","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tongtong","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,11]]},"reference":[{"issue":"108","key":"4481_CR1","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1016\/j.measurement.2020.108675","volume":"173","author":"M Arif","year":"2021","unstructured":"Arif M, Chen J, Wang G et al (2021) Privacy preserving and data publication for vehicular trajectories with differential privacy. Measurement 173(108):675. https:\/\/doi.org\/10.1016\/j.measurement.2020.108675","journal-title":"Measurement"},{"issue":"6","key":"4481_CR2","doi-asserted-by":"publisher","first-page":"4778","DOI":"10.1109\/JIOT.2018.2820039","volume":"5","author":"P Asuquo","year":"2018","unstructured":"Asuquo P, Cruickshank H, Morley J et al (2018) Security and privacy in location-based services for vehicular and mobile communications: An overview, challenges, and countermeasures. IEEE Intern Things J 5(6):4778\u20134802","journal-title":"IEEE Intern Things J"},{"key":"4481_CR3","doi-asserted-by":"crossref","unstructured":"Bordenabe NE, Chatzikokolakis K, Palamidessi C (2014) Optimal geo-indistinguishable mechanisms for location privacy. In: Proc. 2014 ACM SIGSAC conference on computer and communications security, pp 251\u2013262","DOI":"10.1145\/2660267.2660345"},{"issue":"3","key":"4481_CR4","doi-asserted-by":"publisher","first-page":"1351","DOI":"10.1007\/s12652-019-01227-z","volume":"11","author":"X Deng","year":"2020","unstructured":"Deng X, Xin X, Gao T (2020) A location privacy protection scheme based on random encryption period for vsns. J Ambient Intell Humaniz Comput 11(3):1351\u20131359","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"4481_CR5","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.knosys.2018.01.007","volume":"148","author":"Y Dong","year":"2018","unstructured":"Dong Y, Pi D (2018) Novel privacy-preserving algorithm based on frequent path for trajectory data publishing. Knowledge-Based Syst 148:55\u201365","journal-title":"Knowledge-Based Syst"},{"key":"4481_CR6","doi-asserted-by":"crossref","unstructured":"Dwork C, McSherry F, Nissim K, et\u00a0al (2006) Calibrating noise to sensitivity in private data analysis. In: Theory of cryptography conference, Springer, pp 265\u2013284","DOI":"10.1007\/11681878_14"},{"issue":"4","key":"4481_CR7","doi-asserted-by":"publisher","first-page":"2611","DOI":"10.1109\/JIOT.2019.2943719","volume":"7","author":"S Ghane","year":"2020","unstructured":"Ghane S, Kulik L, Ramamohanarao K (2020) Tgm: A generative mechanism for publishing trajectories with differential privacy. IEEE Intern Things J 7(4):2611\u20132621","journal-title":"IEEE Intern Things J"},{"key":"4481_CR8","doi-asserted-by":"crossref","unstructured":"Gursoy ME, Liu L, Truex S, et\u00a0al (2018) Utility-aware synthesis of differentially private and attack-resilient location traces. In: Proc. 2018 ACM SIGSAC Conference on Computer and Communications Security, pp 196\u2013211","DOI":"10.1145\/3243734.3243741"},{"issue":"1\u20132","key":"4481_CR9","doi-asserted-by":"publisher","first-page":"1021","DOI":"10.14778\/1920841.1920970","volume":"3","author":"M Hay","year":"2010","unstructured":"Hay M, Rastogi V, Miklau G et al (2010) Boosting the accuracy of differentially private histograms through consistency. Proc VLDB Endow 3(1\u20132):1021\u20131032. https:\/\/doi.org\/10.14778\/1920841.1920970","journal-title":"Proc VLDB Endow"},{"issue":"11","key":"4481_CR10","doi-asserted-by":"publisher","first-page":"1154","DOI":"10.14778\/2809974.2809978","volume":"8","author":"X He","year":"2015","unstructured":"He X, Cormode G, Machanavajjhala A et al (2015) Dpt: differentially private trajectory synthesis using hierarchical reference systems. Proc VLDB Endow 8(11):1154\u20131165","journal-title":"Proc VLDB Endow"},{"key":"4481_CR11","doi-asserted-by":"crossref","unstructured":"Hua J, Gao Y, Zhong S (2015) Differentially private publication of general time-serial trajectory data. In: 2015 IEEE Conference on Computer Communications (INFOCOM), pp 549\u2013557","DOI":"10.1109\/INFOCOM.2015.7218422"},{"key":"4481_CR12","first-page":"1","volume":"400","author":"M Li","year":"2017","unstructured":"Li M, Zhu L, Zhang Z et al (2017) Achieving differential privacy of trajectory data publishing in participatory sensing. Inform Sci 400:1\u201313","journal-title":"Inform Sci"},{"issue":"12","key":"4481_CR13","doi-asserted-by":"publisher","first-page":"11,789","DOI":"10.1109\/JIOT.2020.3001381","volume":"7","author":"X Li","year":"2020","unstructured":"Li X, Zhang H, Ren Y et al (2020) Papu: Pseudonym swap with provable unlinkability based on differential privacy in vanets. IEEE Intern Things J 7(12):11,789-11,802","journal-title":"IEEE Intern Things J"},{"issue":"115","key":"4481_CR14","first-page":"120","volume":"180","author":"Q Liu","year":"2021","unstructured":"Liu Q, Yu J, Han J et al (2021) Differentially private and utility-aware publication of trajectory data. Expert Syst Appl 180(115):120","journal-title":"Expert Syst Appl"},{"issue":"8","key":"4481_CR15","doi-asserted-by":"publisher","first-page":"8091","DOI":"10.1109\/TVT.2019.2924679","volume":"68","author":"Z Ma","year":"2019","unstructured":"Ma Z, Zhang T, Liu X et al (2019) Real-time privacy-preserving data release over vehicle trajectory. IEEE Trans Veh Technol 68(8):8091\u20138102","journal-title":"IEEE Trans Veh Technol"},{"issue":"1","key":"4481_CR16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10922-021-09618-4","volume":"30","author":"S Mahdavifar","year":"2022","unstructured":"Mahdavifar S, Deldar F, Mahdikhani H (2022) Personalized privacy-preserving publication of trajectory data by generalization and distortion of moving points. J Net Syst Manag 30(1):1\u201342","journal-title":"J Net Syst Manag"},{"key":"4481_CR17","doi-asserted-by":"crossref","unstructured":"McSherry F, Talwar K (2007) Mechanism design via differential privacy. In: 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS\u201907), pp 94\u2013103","DOI":"10.1109\/FOCS.2007.66"},{"key":"4481_CR18","doi-asserted-by":"crossref","unstructured":"McSherry FD (2009) Privacy integrated queries: an extensible platform for privacy-preserving data analysis. In: Proc. 2009 ACM SIGMOD International Conference on Management of data, pp 19\u201330","DOI":"10.1145\/1559845.1559850"},{"issue":"2","key":"4481_CR19","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1109\/TIFS.2015.2498131","volume":"11","author":"FM Naini","year":"2016","unstructured":"Naini FM, Unnikrishnan J, Thiran P et al (2016) Where you are is who you are: User identification by matching statistics. IEEE Trans Inform Forensics Sec 11(2):358\u2013372","journal-title":"IEEE Trans Inform Forensics Sec"},{"key":"4481_CR20","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1016\/j.ins.2016.08.010","volume":"387","author":"T Peng","year":"2017","unstructured":"Peng T, Liu Q, Meng D et al (2017) Collaborative trajectory privacy preserving scheme in location-based services. Inform Sci 387:165\u2013179","journal-title":"Inform Sci"},{"issue":"9","key":"4481_CR21","doi-asserted-by":"publisher","first-page":"3270","DOI":"10.1109\/TKDE.2020.2964658","volume":"33","author":"S Shaham","year":"2021","unstructured":"Shaham S, Ding M, Liu B et al (2021) Privacy preserving location data publishing: a machine learning approach. IEEE Trans Knowl Data Eng 33(9):3270\u20133283. https:\/\/doi.org\/10.1109\/TKDE.2020.2964658","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"3","key":"4481_CR22","doi-asserted-by":"publisher","first-page":"796","DOI":"10.1109\/TMC.2019.2952774","volume":"20","author":"H Wang","year":"2021","unstructured":"Wang H, Li Y, Gao C et al (2021) Anonymization and de-anonymization of mobility trajectories: Dissecting the gaps between theory and practice. IEEE Tran Mob Compt 20(3):796\u2013815. https:\/\/doi.org\/10.1109\/TMC.2019.2952774","journal-title":"IEEE Tran Mob Compt"},{"issue":"1","key":"4481_CR23","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/s12652-020-01692-x","volume":"12","author":"W Yang","year":"2021","unstructured":"Yang W, Sun YE, Huang H et al (2021) Persistent transportation traffic volume estimation with differential privacy. J Am Intell Humaniz Compt 12(1):213\u2013231","journal-title":"J Am Intell Humaniz Compt"},{"issue":"115","key":"4481_CR24","first-page":"215","volume":"182","author":"S Yuan","year":"2021","unstructured":"Yuan S, Pi D, Zhao X et al (2021) Differential privacy trajectory data protection scheme based on r-tree. Expert Syst Appl 182(115):215","journal-title":"Expert Syst Appl"},{"key":"4481_CR25","doi-asserted-by":"crossref","unstructured":"Zeng X, Chen X, Peng X, et\u00a0al (2022) Differentially private publication for related poi discovery. Journal of Ambient Intelligence and Humanized Computing pp 1\u201315","DOI":"10.1007\/s12652-021-03690-z"},{"issue":"12","key":"4481_CR26","doi-asserted-by":"publisher","first-page":"11,778","DOI":"10.1109\/JIOT.2020.3001172","volume":"7","author":"G Zhang","year":"2020","unstructured":"Zhang G, Zhang A, Zhao P (2020) Locmia: Membership inference attacks against aggregated location data. IEEE Intern Things J 7(12):11,778-11,788","journal-title":"IEEE Intern Things J"},{"issue":"1","key":"4481_CR27","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/s12652-020-01746-0","volume":"12","author":"J Zhang","year":"2021","unstructured":"Zhang J, Yang Q, Shen Y et al (2021) A differential privacy based probabilistic mechanism for mobility datasets releasing. J Am Intell Humaniz Compt 12(1):201\u2013212","journal-title":"J Am Intell Humaniz Compt"},{"issue":"2","key":"4481_CR28","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1109\/TSG.2016.2585963","volume":"8","author":"Z Zhang","year":"2017","unstructured":"Zhang Z, Qin Z, Zhu L et al (2017) Cost-friendly differential privacy for smart meters: Exploiting the dual roles of the noise. IEEE Trans Smart Grid 8(2):619\u2013626. https:\/\/doi.org\/10.1109\/TSG.2016.2585963","journal-title":"IEEE Trans Smart Grid"},{"issue":"11","key":"4481_CR29","doi-asserted-by":"publisher","first-page":"8391","DOI":"10.1007\/s11227-019-03104-0","volume":"76","author":"P Zhao","year":"2020","unstructured":"Zhao P, Zhang G, Wan S et al (2020) A survey of local differential privacy for securing internet of vehicles. J Supercompt 76(11):8391\u20138412","journal-title":"J Supercompt"},{"issue":"105","key":"4481_CR30","first-page":"940","volume":"198","author":"X Zhao","year":"2020","unstructured":"Zhao X, Pi D, Chen J (2020) Novel trajectory privacy-preserving method based on prefix tree using differential privacy. Knowledge-Based Syst 198(105):940","journal-title":"Knowledge-Based Syst"},{"issue":"3","key":"4481_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2743025","volume":"6","author":"Y Zheng","year":"2015","unstructured":"Zheng Y (2015) Trajectory data mining: an overview. ACM Trans Intell Syst Technol (TIST) 6(3):1\u201341","journal-title":"ACM Trans Intell Syst Technol (TIST)"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-022-04481-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-022-04481-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-022-04481-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,2]],"date-time":"2023-03-02T16:14:07Z","timestamp":1677773647000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-022-04481-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,11]]},"references-count":31,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["4481"],"URL":"https:\/\/doi.org\/10.1007\/s12652-022-04481-w","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,11]]},"assertion":[{"value":"9 April 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 November 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 December 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interests"}}]}}