{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T01:57:42Z","timestamp":1774490262240,"version":"3.50.1"},"publisher-location":"Cham","reference-count":38,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030992767","type":"print"},{"value":"9783030992774","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-99277-4_2","type":"book-chapter","created":{"date-parts":[[2022,3,26]],"date-time":"2022-03-26T17:12:16Z","timestamp":1648314736000},"page":"25-46","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Revisiting Driver Anonymity in ORide"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0245-9520","authenticated-orcid":false,"given":"Deepak","family":"Kumaraswamy","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0222-322X","authenticated-orcid":false,"given":"Shyam","family":"Murthy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8426-0859","authenticated-orcid":false,"given":"Srinivas","family":"Vivek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,3,27]]},"reference":[{"key":"2_CR1","doi-asserted-by":"crossref","unstructured":"Andr\u00e9s, M., Bordenabe, N., Chatzikokolakis, K., Palamidessi, C.: Geo-indistinguishability: differential privacy for location-based systems. In: Proceedings of the ACM Conference on Computer and Communications Security (2013)","DOI":"10.1145\/2508859.2516735"},{"key":"2_CR2","doi-asserted-by":"crossref","unstructured":"Baza, M., Lasla, N., Mahmoud, M., Srivastava, G., Abdallah, M.: B-ride: ride sharing with privacy-preservation, trust and fair payment atop public blockchain. IEEE Trans. Network Sci. Eng. 8, 1214\u20131229 (2019)","DOI":"10.1109\/TNSE.2019.2959230"},{"key":"2_CR3","unstructured":"Bieniek, T.: Utm 0.5.0 (2019). https:\/\/pypi.org\/project\/utm\/. Accessed 3 Apr 2020"},{"key":"2_CR4","doi-asserted-by":"crossref","unstructured":"Chen, L., Mislove, A., Wilson, C.: Peeking Beneath the Hood of Uber. In: Cho, K., Fukuda, K., Pai, V.S., Spring, N. (eds.) Proceedings of the 2015 ACM Internet Measurement Conference, IMC 2015, Tokyo, Japan, 28\u201330 October, 2015, pp. 495\u2013508. ACM (2015)","DOI":"10.1145\/2815675.2815681"},{"key":"2_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1007\/978-3-319-69453-5_22","volume-title":"Selected Areas in Cryptography \u2013 SAC 2016","author":"A Costache","year":"2017","unstructured":"Costache, A., Smart, N.P., Vivek, S., Waller, A.: Fixed-point arithmetic in SHE schemes. In: Avanzi, R., Heys, H. (eds.) SAC 2016. LNCS, vol. 10532, pp. 401\u2013422. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-69453-5_22"},{"key":"2_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/11681878_14","volume-title":"Theory of Cryptography","author":"C Dwork","year":"2006","unstructured":"Dwork, C., McSherry, F., Nissim, K., Smith, A.: Calibrating noise to sensitivity in private data analysis. In: Halevi, S., Rabin, T. (eds.) TCC 2006. LNCS, vol. 3876, pp. 265\u2013284. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11681878_14"},{"key":"2_CR7","unstructured":"Fan, J., Vercauteren, F.: Somewhat practical fully homomorphic encryption. Cryptology ePrint Archive (2012). http:\/\/eprint.iacr.org\/2012\/144"},{"key":"2_CR8","unstructured":"GitHub: SAGE code for polynomial recovery (2019). https:\/\/github.com\/shyamsmurthy\/knn_polynomial_recovery. Accessed 12 June 2020"},{"key":"2_CR9","unstructured":"Google: Google Maps Platform (2019). https:\/\/developers.google.com\/maps\/documentation\/roads\/intro\/. Accessed 3 Apr 2020"},{"key":"2_CR10","unstructured":"Google: Google Maps Platform, client libraries for google maps web services (2019). https:\/\/developers.google.com\/maps\/web-services\/client-library. Accessed 3 Apr 2020"},{"key":"2_CR11","unstructured":"Guardian, T.: New York Taxi Details can be Extracted from Anonymised Data, Researchers Say (2014). https:\/\/www.theguardian.com\/technology\/2014\/jun\/27\/new-york-taxi-details-anonymised-data-researchers-warn. Accessed 20 Mar 2020"},{"key":"2_CR12","unstructured":"Hurriyet Daily News: Istanbul taxi drivers hunt down, beat up Uber drivers as tensions rise (2018). https:\/\/www.hurriyetdailynews.com\/istanbul-taxi-drivers-hunt-down-beat-up-uber-drivers-as-tensions-rise-128443. Accessed 11 June 2020"},{"key":"2_CR13","unstructured":"Kesarwani, M., et al.: Efficient secure $$k$$-nearest neighbours over encrypted data. In: Proceedings of the 21th International Conference on Extending Database Technology, EDBT 2018, Vienna, Austria, 26\u201329 March, 2018, pp. 564\u2013575 (2018)"},{"key":"2_CR14","doi-asserted-by":"crossref","unstructured":"Khazbak, Y., Fan, J., Zhu, S., Cao, G.: Preserving location privacy in ride-hailing service. In: 2018 IEEE Conference on Communications and Network Security, CNS 2018, Beijing, China, 30 May\u20131 June 2018, pp. 1\u20139. IEEE (2018)","DOI":"10.1109\/CNS.2018.8433221"},{"issue":"7","key":"2_CR15","doi-asserted-by":"publisher","first-page":"1791","DOI":"10.1109\/TIFS.2018.2885282","volume":"14","author":"Y Luo","year":"2019","unstructured":"Luo, Y., Jia, X., Fu, S., Xu, M.: pRide: privacy-preserving ride matching over road networks for online ride-hailing service. IEEE Trans. Inf. Forensics Secur. 14(7), 1791\u20131802 (2019)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2_CR16","doi-asserted-by":"crossref","unstructured":"Maouche, M., Mokhtar, S., Bouchenak, S.: AP-attack: a novel user re-identification attack on mobility datasets. In: MobiQuitous 2017\u201314th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, pp. 48\u201357, November 2017","DOI":"10.1145\/3144457.3144494"},{"key":"2_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1007\/978-3-030-35199-1_14","volume-title":"Cryptography and Coding","author":"S Murthy","year":"2019","unstructured":"Murthy, S., Vivek, S.: Cryptanalysis of a protocol for efficient sorting on SHE encrypted data. In: Albrecht, M. (ed.) IMACC 2019. LNCS, vol. 11929, pp. 278\u2013294. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-35199-1_14"},{"key":"2_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1007\/978-3-642-38631-2_34","volume-title":"Network and System Security","author":"M Nabeel","year":"2013","unstructured":"Nabeel, M., Appel, S., Bertino, E., Buchmann, A.: Privacy preserving context aware publish subscribe systems. In: Lopez, J., Huang, X., Sandhu, R. (eds.) NSS 2013. LNCS, vol. 7873, pp. 465\u2013478. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-38631-2_34"},{"key":"2_CR19","unstructured":"NACTO: Urban Street Design Guide (2019). https:\/\/nacto.org\/publication\/urban-street-design-guide\/street-design-elements\/lane-width\/. Accessed 12 Mar 2020"},{"key":"2_CR20","unstructured":"NortonLifeLock: Uber Announces New Data Breach Affecting 57 million Riders and Drivers (2020). https:\/\/us.norton.com\/internetsecurity-emerging-threats-uber-breach-57-million.html. Accessed 10 Apr 2020"},{"key":"2_CR21","unstructured":"NYC Taxi and Limousine Commission: TLC Trip Record Data. https:\/\/www1.nyc.gov\/site\/tlc\/about\/tlc-trip-record-data.page. Accessed 14 Apr 2020"},{"key":"2_CR22","unstructured":"NYU Spatial Data Repository: 2010 New York City Census Tract Boundaries. https:\/\/geo.nyu.edu\/catalog\/nyu-2451-34513. Accessed 14 Apr 2020"},{"key":"2_CR23","unstructured":"Pew Research Center: More Americans Are Using Ride-Hailing Apps (2019). https:\/\/www.pewresearch.org\/fact-tank\/2019\/01\/04\/more-americans-are-using-ride-hailing-apps\/. Accessed 18 Feb 2020"},{"key":"2_CR24","unstructured":"Pham, A., Dacosta, I., Endignoux, G., Troncoso-Pastoriza, J.R., Huguenin, K., Hubaux, J.: ORide: a privacy-preserving yet accountable ride-hailing service. In: Kirda, E., Ristenpart, T. (eds.) 26th USENIX Security Symposium, USENIX Security 2017, Vancouver, BC, Canada, 16\u201318 August, 2017, pp. 1235\u20131252. USENIX Association (2017)"},{"key":"2_CR25","doi-asserted-by":"crossref","unstructured":"Pham, A., et al.: PrivateRide: a privacy-enhanced ride-hailing service. PoPETs 2017(2), 38\u201356 (2017). https:\/\/doi.org\/10.1515\/popets-2017-0015","DOI":"10.1515\/popets-2017-0015"},{"key":"2_CR26","unstructured":"Schneider, T.: NYC Taxi Data (2019). https:\/\/github.com\/toddwschneider\/nyc-taxi-data. Accessed 14 April 2020"},{"key":"2_CR27","doi-asserted-by":"crossref","unstructured":"Shahabi, C., Kolahdouzan, M.R., Sharifzadeh, M.: A road network embedding technique for k-nearest neighbor search in moving object databases. In: Voisard, A., Chen, S. (eds.) ACM-GIS 2002, Proceedings of the Tenth ACM International Symposium on Advances in Geographic Information Systems, McLean, VA (near Washington, DC), USA, USA, 8\u20139 November, 2002, pp. 94\u201310. ACM (2002)","DOI":"10.1145\/585147.585167"},{"key":"2_CR28","doi-asserted-by":"crossref","unstructured":"Sweeney, L.: $$k$$-anonymity: a model for protecting privacy. Int. J. Uncertainty Fuzziness Knowl.Based Syst. 10, 557\u2013570 (2012)","DOI":"10.1142\/S0218488502001648"},{"key":"2_CR29","doi-asserted-by":"crossref","unstructured":"Takloo-Bighash, R.: A Pythagorean Introduction to Number Theory: Right Triangles, Sums of Squares, and Arithmetic. Undergraduate Texts in Mathematics, Springer International Publishing (2018). https:\/\/books.google.co.in\/books?id=_td7DwAAQBAJ","DOI":"10.1007\/978-3-030-02604-2"},{"key":"2_CR30","unstructured":"thejournal.ie: West Dublin gang using hailing apps to target older taxi drivers (2019). https:\/\/www.thejournal.ie\/west-dublin-taxi-robbery-4420178-Jan2019\/. Accessed 11 June 2020"},{"key":"2_CR31","doi-asserted-by":"crossref","unstructured":"Vivek, S.: Attacks on a privacy-preserving publish-subscribe system and a ride-hailing service. CoRR (2021). https:\/\/arxiv.org\/abs\/2105.04351","DOI":"10.1007\/978-3-030-92641-0_4"},{"issue":"11","key":"2_CR32","doi-asserted-by":"publisher","first-page":"11084","DOI":"10.1109\/TVT.2018.2868869","volume":"67","author":"F Wang","year":"2018","unstructured":"Wang, F., Zhu, H., Liu, X., Lu, R., Li, F., Li, H., Zhang, S.: Efficient and privacy-preserving dynamic spatial query scheme for ride-hailing services. IEEE Trans. Veh. Technol. 67(11), 11084\u201311097 (2018)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"2_CR33","unstructured":"Wikipedia contributors: Universal Transverse Mercator coordinate system (2020). https:\/\/en.wikipedia.org\/wiki\/Universal_Transverse_Mercator_coordinate_system. Accessed 27 Apr 2020"},{"key":"2_CR34","doi-asserted-by":"publisher","first-page":"3068","DOI":"10.1109\/TIFS.2021.3065832","volume":"16","author":"H Xie","year":"2021","unstructured":"Xie, H., Guo, Y., Jia, X.: A privacy-preserving online ride-hailing system without involving a third trusted server. IEEE Trans. Inf. Forensics Secur. 16, 3068\u20133081 (2021)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2_CR35","doi-asserted-by":"crossref","unstructured":"Yu, H., Jia, X., Zhang, H., Yu, X., Shu, J.: Psride: privacy-preserving shared ride matching for online ride hailing systems. IEEE Trans. Dependable Secure Comput., 1 (2019)","DOI":"10.1109\/TDSC.2019.2931295"},{"key":"2_CR36","doi-asserted-by":"crossref","unstructured":"Yu, H., Jia, X., Zhang, H., Shu, J.: Efficient and privacy-preserving ride matching using exact road distance in online ride hailing services. IEEE Trans. Serv. Comput., 1 (2020)","DOI":"10.1155\/2020\/4948387"},{"issue":"11","key":"2_CR37","doi-asserted-by":"publisher","first-page":"10418","DOI":"10.1109\/TVT.2019.2941761","volume":"68","author":"H Yu","year":"2019","unstructured":"Yu, H., Shu, J., Jia, X., Zhang, H., Yu, X.: lpride: lightweight and privacy-preserving ride matching over road networks in online ride hailing systems. IEEE Trans. Vehicular Technol. 68(11), 10418\u201310428 (2019)","journal-title":"IEEE Trans. Vehicular Technol."},{"key":"2_CR38","doi-asserted-by":"crossref","unstructured":"Zhao, Q., Zuo, C., Pellegrino, G., Lin, Z.: Geo-locating drivers: a study of sensitive data leakage in ride-hailing services. In: 26th Annual Network and Distributed System Security Symposium, NDSS 2019, San Diego, California, USA, 24\u201327 February, 2019. The Internet Society (2019). https:\/\/www.ndss-symposium.org\/ndss-paper\/geo-locating-drivers-a-study-of-sensitive-data-leakage-in-ride-hailing-services\/","DOI":"10.14722\/ndss.2019.23052"}],"container-title":["Lecture Notes in Computer Science","Selected Areas in Cryptography"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-99277-4_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T01:04:15Z","timestamp":1774487055000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-99277-4_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030992767","9783030992774"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-99277-4_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"27 March 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SAC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Selected Areas in Cryptography","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sacrypt2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.sac2021.ca\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"60","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"23","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Papers authored by PC members underwent 5 reviews.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}