{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T01:22:23Z","timestamp":1791940943966,"version":"4.3.4"},"reference-count":58,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2019,1,9]],"date-time":"2019-01-09T00:00:00Z","timestamp":1546992000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"US National Science Foundation","doi-asserted-by":"crossref","award":["IIS-1319973,IIS-1553411,CNS-1262277,CNS-1566374,CNS-1652503,CNS-1742845"],"award-info":[{"award-number":["IIS-1319973,IIS-1553411,CNS-1262277,CNS-1566374,CNS-1652503,CNS-1742845"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Sen. Netw."],"published-print":{"date-parts":[[2019,2,28]]},"abstract":"<jats:p>The recent proliferation of human-carried mobile devices has given rise to the crowd sensing systems. However, the sensory data provided by individual participants are usually not reliable. To better utilize such sensory data, the topic of truth discovery, whose goal is to estimate user quality and infer reliable aggregated results through quality-aware data aggregation, has drawn significant attention. Though able to improve aggregation accuracy, existing truth discovery approaches fail to address the privacy concerns of individual users. In this article, we propose a novel privacy-preserving truth discovery (PPTD) framework, which can protect not only users\u2019 sensory data but also their reliability scores derived by the truth discovery approaches. The key idea of the proposed framework is to perform weighted aggregation on users\u2019 encrypted data using a homomorphic cryptosystem, which can guarantee both high accuracy and strong privacy protection. In order to deal with large-scale data, we also propose to parallelize PPTD with MapReduce framework. Additionally, we design an incremental PPTD scheme for the scenarios where the sensory data are collected in a streaming manner. Extensive experiments based on two real-world crowd sensing systems demonstrate that the proposed framework can generate accurate aggregated results while protecting users\u2019 private information.<\/jats:p>","DOI":"10.1145\/3277505","type":"journal-article","created":{"date-parts":[[2019,1,9]],"date-time":"2019-01-09T18:36:36Z","timestamp":1547058996000},"page":"1-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":66,"title":["Privacy-Preserving Truth Discovery in Crowd Sensing Systems"],"prefix":"10.1145","volume":"15","author":[{"given":"Chenglin","family":"Miao","sequence":"first","affiliation":[{"name":"State University of New York at Buffalo, Buffalo, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjun","family":"Jiang","sequence":"additional","affiliation":[{"name":"State University of New York at Buffalo, Buffalo, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu","family":"Su","sequence":"additional","affiliation":[{"name":"State University of New York at Buffalo, Buffalo, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaliang","family":"Li","sequence":"additional","affiliation":[{"name":"Tencent Medical AI Lab, Palo Alto, CA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suxin","family":"Guo","sequence":"additional","affiliation":[{"name":"State University of New York at Buffalo, Buffalo, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhan","family":"Qin","sequence":"additional","affiliation":[{"name":"The University of Texas at San Antonio, San Antonio, TX"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Houping","family":"Xiao","sequence":"additional","affiliation":[{"name":"Georgia State University, Atlanta, GA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Gao","sequence":"additional","affiliation":[{"name":"State University of New York at Buffalo, Buffalo, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kui","family":"Ren","sequence":"additional","affiliation":[{"name":"State University of New York at Buffalo, Buffalo, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,1,9]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2809695.2809702"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2015.9"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2668332.2668346"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2461381.2461388"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2493432.2493498"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2370216.2370288"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2010.145"},{"key":"e_1_2_1_8_1","volume-title":"Nielsen","author":"Cramer Ronald","year":"2001","unstructured":"Ronald Cramer , Ivan Damg\u00e5rd , and Jesper B . Nielsen . 2001 . Multiparty Computation from Threshold Homomorphic Encryption. Springer . Ronald Cramer, Ivan Damg\u00e5rd, and Jesper B. Nielsen. 2001. Multiparty Computation from Threshold Homomorphic Encryption. Springer."},{"key":"e_1_2_1_9_1","volume-title":"Public Key Cryptography","author":"Damg\u00e5rd Ivan","unstructured":"Ivan Damg\u00e5rd and Mads Jurik . 2001. A generalisation, a simplification and some applications of Paillier\u2019s probabilistic public-key system . In Public Key Cryptography . Springer . Ivan Damg\u00e5rd and Mads Jurik. 2001. A generalisation, a simplification and some applications of Paillier\u2019s probabilistic public-key system. In Public Key Cryptography. Springer."},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/2907333.2907524"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1814433.1814450"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1460412.1460440"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2011.6069707"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2639108.2639134"},{"key":"e_1_2_1_17_1","volume-title":"Secure Multi-party Computation. Manuscript. Preliminary Version","author":"Goldreich Oded","year":"1998","unstructured":"Oded Goldreich . 1998. Secure Multi-party Computation. Manuscript. Preliminary Version ( 1998 ). Oded Goldreich. 1998. Secure Multi-party Computation. Manuscript. Preliminary Version (1998)."},{"key":"e_1_2_1_18_1","unstructured":"\u201cGSK\u201d. 2016. Can an iPhone transform the way we monitor and improve patient health? Retrieved from http:\/\/www.gsk.com\/en-gb\/behind-the-science\/innovation\/can-an-iphone-transform-the-way-we-monitor-and-improve-patient-health\/.  \u201cGSK\u201d. 2016. Can an iPhone transform the way we monitor and improve patient health? Retrieved from http:\/\/www.gsk.com\/en-gb\/behind-the-science\/innovation\/can-an-iphone-transform-the-way-we-monitor-and-improve-patient-health\/."},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2014.6848113"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2750858.2804287"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2461381.2461433"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2770876"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOM.2009.4912864"},{"key":"e_1_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Kuan Lun Huang Salil S. Kanhere and Wen Hu. 2012. A privacy-preserving reputation system for participatory sensing. In LCN.  Kuan Lun Huang Salil S. Kanhere and Wen Hu. 2012. A privacy-preserving reputation system for participatory sensing. In LCN.","DOI":"10.1109\/LCN.2012.6423585"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2017.2712630"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2013.6567071"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-014-0352-3"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.5555\/951949.952160"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.5555\/2993952.2994024"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2031331.2031337"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2517351.2517372"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.14778\/2735496.2735505"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2610509"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.14778\/2535568.2448943"},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897350.2897352"},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783277"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2559481"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.5555\/646765.704129"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783314"},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/2809695.2809715"},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/2809695.2809719"},{"key":"e_1_2_1_42_1","volume-title":"Proceedings of the 31st Annual IEEE International Conference on Computer Communications (INFOCOM\u201912)","author":"Oh Sangho","year":"2012","unstructured":"Sangho Oh , Tam Vu , Marco Gruteser , and Suman Banerjee . 2012 . Phantom: Physical layer cooperation for location privacy protection . In Proceedings of the 31st Annual IEEE International Conference on Computer Communications (INFOCOM\u201912) . Sangho Oh, Tam Vu, Marco Gruteser, and Suman Banerjee. 2012. Phantom: Physical layer cooperation for location privacy protection. In Proceedings of the 31st Annual IEEE International Conference on Computer Communications (INFOCOM\u201912)."},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-11917-0_8"},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2011.79"},{"key":"e_1_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/2307636.2307668"},{"key":"e_1_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/2030613.2030623"},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2015.2421939"},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/1592761.1592778"},{"key":"e_1_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2010.04.001"},{"key":"e_1_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/RTSS.2014.40"},{"key":"e_1_2_1_52_1","doi-asserted-by":"crossref","unstructured":"Vigneshwaran Subbaraju Amit Kumar Vikrant Nandakumar Sonali Batra Salil Kanhere Pradipta De Vinayak Naik Dipanjan Chakraborty and Archan MISRA. 2013. ConferenceSense: A case study of sensing public gatherings using participatory smartphones. In Proceedings of the International Workshop on Pervasive Urban Crowdsensing Architecture and Applications (PUCAA\u201913).  Vigneshwaran Subbaraju Amit Kumar Vikrant Nandakumar Sonali Batra Salil Kanhere Pradipta De Vinayak Naik Dipanjan Chakraborty and Archan MISRA. 2013. ConferenceSense: A case study of sensing public gatherings using participatory smartphones. In Proceedings of the International Workshop on Pervasive Urban Crowdsensing Architecture and Applications (PUCAA\u201913).","DOI":"10.1145\/2494091.2499775"},{"key":"e_1_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488502001648"},{"key":"e_1_2_1_54_1","unstructured":"\u201cTechCrunch\u201d. 2016. Transit app begins crowdsourcing data to provide accurate real-time info. Retrieved from https:\/\/techcrunch.com\/2016\/12\/20\/transit-app-begins-crowdsourcing-data-to-provide-accurate-real-time-info\/.  \u201cTechCrunch\u201d. 2016. Transit app begins crowdsourcing data to provide accurate real-time info. Retrieved from https:\/\/techcrunch.com\/2016\/12\/20\/transit-app-begins-crowdsourcing-data-to-provide-accurate-real-time-info\/."},{"key":"e_1_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.14778\/2732951.2732966"},{"key":"e_1_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/2185677.2185737"},{"key":"e_1_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/2737095.2737114"},{"key":"e_1_2_1_58_1","volume-title":"Proceedings of the 35th IEEE International Conference on Real-Time Systems Symposium (RTSS\u201914)","author":"Wang Shiguang","unstructured":"Shiguang Wang , Dong Wang , Lu Su , Lance Kaplan , and Tarek F. Abdelzaher . 2014. Towards cyber-physical systems in social spaces: The data reliability challenge . In Proceedings of the 35th IEEE International Conference on Real-Time Systems Symposium (RTSS\u201914) . Shiguang Wang, Dong Wang, Lu Su, Lance Kaplan, and Tarek F. Abdelzaher. 2014. Towards cyber-physical systems in social spaces: The data reliability challenge. In Proceedings of the 35th IEEE International Conference on Real-Time Systems Symposium (RTSS\u201914)."},{"key":"e_1_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.190745"},{"key":"e_1_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2012.6195610"}],"container-title":["ACM Transactions on Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3277505","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3277505","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:39:38Z","timestamp":1750210778000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3277505"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,9]]},"references-count":58,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,2,28]]}},"alternative-id":["10.1145\/3277505"],"URL":"https:\/\/doi.org\/10.1145\/3277505","relation":{},"ISSN":["1550-4859","1550-4867"],"issn-type":[{"value":"1550-4859","type":"print"},{"value":"1550-4867","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,9]]},"assertion":[{"value":"2017-09-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-09-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-01-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}