{"id":"https://openalex.org/W2982474461","doi":"https://doi.org/10.1109/tnet.2019.2944984","title":"Enabling Data Trustworthiness and User Privacy in Mobile Crowdsensing","display_name":"Enabling Data Trustworthiness and User Privacy in Mobile Crowdsensing","publication_year":2019,"publication_date":"2019-10-28","ids":{"openalex":"https://openalex.org/W2982474461","doi":"https://doi.org/10.1109/tnet.2019.2944984","mag":"2982474461"},"language":"en","primary_location":{"id":"doi:10.1109/tnet.2019.2944984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2019.2944984","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013854450","display_name":"Haiqin Wu","orcid":"https://orcid.org/0000-0002-2942-6975"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiqin Wu","raw_affiliation_strings":["Department of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":"https://orcid.org/0000-0002-2942-6975","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017914641","display_name":"Liangmin Wang","orcid":"https://orcid.org/0000-0003-0048-5979"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangmin Wang","raw_affiliation_strings":["Department of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":"https://orcid.org/0000-0003-0048-5979","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026230689","display_name":"Guoliang Xue","orcid":"https://orcid.org/0000-0002-5833-8894"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoliang Xue","raw_affiliation_strings":["School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, USA"],"raw_orcid":"https://orcid.org/0000-0002-5833-8894","affiliations":[{"raw_affiliation_string":"School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039176528","display_name":"Jian Tang","orcid":"https://orcid.org/0000-0003-4418-0114"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Tang","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048130147","display_name":"Dejun Yang","orcid":"https://orcid.org/0000-0002-1811-4423"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dejun Yang","raw_affiliation_strings":["Department of Computer Science, Colorado School of Mines, Golden, USA"],"raw_orcid":"https://orcid.org/0000-0002-1811-4423","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Colorado School of Mines, Golden, USA","institution_ids":["https://openalex.org/I167576493"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.3991,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.98214952,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"27","issue":"6","first_page":"2294","last_page":"2307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8356465101242065},{"id":"https://openalex.org/keywords/anonymity","display_name":"Anonymity","score":0.6583945155143738},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.633183479309082},{"id":"https://openalex.org/keywords/reputation","display_name":"Reputation","score":0.6061795353889465},{"id":"https://openalex.org/keywords/collusion","display_name":"Collusion","score":0.5438199639320374},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4994320869445801},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.49600133299827576},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.4517001509666443},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.440146803855896},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.43278688192367554},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.43213406205177307},{"id":"https://openalex.org/keywords/openness-to-experience","display_name":"Openness to experience","score":0.4144141674041748},{"id":"https://openalex.org/keywords/trusted-computing","display_name":"Trusted Computing","score":0.4100303053855896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8356465101242065},{"id":"https://openalex.org/C178005623","wikidata":"https://www.wikidata.org/wiki/Q308859","display_name":"Anonymity","level":2,"score":0.6583945155143738},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.633183479309082},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.6061795353889465},{"id":"https://openalex.org/C2781198186","wikidata":"https://www.wikidata.org/wiki/Q701521","display_name":"Collusion","level":2,"score":0.5438199639320374},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4994320869445801},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.49600133299827576},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.4517001509666443},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.440146803855896},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.43278688192367554},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.43213406205177307},{"id":"https://openalex.org/C84976871","wikidata":"https://www.wikidata.org/wiki/Q2015673","display_name":"Openness to experience","level":2,"score":0.4144141674041748},{"id":"https://openalex.org/C2776831232","wikidata":"https://www.wikidata.org/wiki/Q966812","display_name":"Trusted Computing","level":2,"score":0.4100303053855896},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnet.2019.2944984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2019.2944984","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G2074794073","display_name":"NeTS:  Small:  Collaborative Research:  Enhancing Crowdsourced Spectrum Sensing through Sybil-proof Incentives","funder_award_id":"1717315","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2705211258","display_name":null,"funder_award_id":"2017YFB1400703","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3573047237","display_name":"\u9762\u5411\u8f66\u8054\u7f51\u5927\u89c4\u6a21\u5e94\u7528\u6570\u636e\u901a\u4fe1\u7684\u9ad8\u6548\u53ef\u4fe1\u4f20\u8f93\u673a\u5236\u7814\u7a76","funder_award_id":"61702233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4164941293","display_name":"NeTS:  Small:  Collaborative Research:  Enhancing Crowdsourced Spectrum Sensing through Sybil-proof Incentives","funder_award_id":"1717197","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4342230030","display_name":"NeTS: Small: Enabling High-Quality Mobile Crowdsourcing with Lifestyle-aware and Energy-efficient Control","funder_award_id":"1525920","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5429374620","display_name":"\u79fb\u52a8\u4e92\u8054\u7f51\u7edc\u53ca\u8bbe\u5907\u7684\u533f\u540d\u53ca\u5e94\u5bf9\u673a\u5236","funder_award_id":"U1736216","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6717863868","display_name":null,"funder_award_id":"201708320241","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W782025088","https://openalex.org/W1587826459","https://openalex.org/W1588782201","https://openalex.org/W1864020532","https://openalex.org/W1963651427","https://openalex.org/W1970756365","https://openalex.org/W1974371521","https://openalex.org/W2010553858","https://openalex.org/W2017353533","https://openalex.org/W2052880471","https://openalex.org/W2066192180","https://openalex.org/W2120826095","https://openalex.org/W2126045912","https://openalex.org/W2146697949","https://openalex.org/W2147837713","https://openalex.org/W2151940804","https://openalex.org/W2160944939","https://openalex.org/W2164146906","https://openalex.org/W2211458998","https://openalex.org/W2276327163","https://openalex.org/W2345856471","https://openalex.org/W2438328984","https://openalex.org/W2474250966","https://openalex.org/W2508096334","https://openalex.org/W2517028219","https://openalex.org/W2538233322","https://openalex.org/W2580955580","https://openalex.org/W2584274610","https://openalex.org/W2604316579","https://openalex.org/W2625215447","https://openalex.org/W2626903815","https://openalex.org/W2717964723","https://openalex.org/W2768222040","https://openalex.org/W2775562353","https://openalex.org/W2793722525","https://openalex.org/W2796856437","https://openalex.org/W2885935450","https://openalex.org/W2896098600","https://openalex.org/W2909007847","https://openalex.org/W2918022964","https://openalex.org/W2918718461","https://openalex.org/W2919279348","https://openalex.org/W2924254303","https://openalex.org/W2939009167","https://openalex.org/W2956440287","https://openalex.org/W2964280086","https://openalex.org/W4252779165","https://openalex.org/W6622435155","https://openalex.org/W6635276603","https://openalex.org/W6644033017","https://openalex.org/W6687874790","https://openalex.org/W6726590716","https://openalex.org/W6736461696"],"related_works":["https://openalex.org/W2009938035","https://openalex.org/W3143020802","https://openalex.org/W1491837399","https://openalex.org/W3122232980","https://openalex.org/W2272761499","https://openalex.org/W2363272970","https://openalex.org/W3124704903","https://openalex.org/W2085964960","https://openalex.org/W2366964182","https://openalex.org/W2182490965"],"abstract_inverted_index":{"Ubiquitous":[0],"mobile":[1,14,21,72],"devices":[2],"with":[3,74,174],"rich":[4],"sensors":[5],"and":[6,23,36,56,70,102,130,188],"advanced":[7],"communication":[8],"capabilities":[9],"have":[10],"given":[11],"rise":[12],"to":[13,92,96,133,157],"crowdsensing":[15,73],"systems.":[16],"The":[17],"diverse":[18],"reliabilities":[19],"of":[20,26,40,77,90,148,152,190],"users":[22,95,136],"the":[24,139,146,150,160,186],"openness":[25],"sensing":[27],"paradigms":[28],"raise":[29],"concerns":[30],"for":[31,68,125],"data":[32,108,140],"trustworthiness,":[33],"user":[34],"privacy,":[35],"incentive":[37,128],"provision.":[38],"Instead":[39],"considering":[41],"these":[42],"issues":[43],"as":[44,123],"isolated":[45],"modules":[46],"in":[47],"most":[48],"existing":[49],"researches,":[50],"we":[51,63,86,143],"comprehensively":[52],"capture":[53],"both":[54],"conflict":[55],"inner-relationship":[57],"among":[58],"them.":[59],"In":[60],"this":[61],"paper,":[62],"propose":[64,145],"a":[65,78,88],"holistic":[66],"solution":[67],"trustworthy":[69],"privacy-aware":[71],"no":[75],"need":[76],"trusted":[79],"third":[80],"party.":[81],"Specifically,":[82],"leveraging":[83],"cryptographic":[84],"technologies,":[85],"devise":[87],"series":[89],"protocols":[91],"enable":[93],"benign":[94],"request":[97],"tasks,":[98],"contribute":[99],"their":[100],"data,":[101],"earn":[103],"rewards":[104],"anonymously":[105],"without":[106],"any":[107],"linkability.":[109],"Meanwhile,":[110],"an":[111],"anonymous":[112],"trust/reputation":[113],"model":[114],"is":[115],"seamlessly":[116],"integrated":[117],"into":[118],"our":[119,126,168,191],"scheme,":[120],"which":[121,155,184],"acts":[122],"reference":[124],"fair":[127],"design,":[129],"provides":[131],"evidence":[132],"detect":[134],"malicious":[135],"who":[137],"degrade":[138],"trustworthiness.":[141],"Particularly,":[142],"first":[144],"idea":[147],"limiting":[149],"number":[151],"issued":[153],"pseudonyms":[154],"serves":[156],"efficiently":[158],"tackle":[159],"anonymity":[161],"abuse":[162],"issue.":[163],"Security":[164],"analysis":[165],"demonstrates":[166],"that":[167],"proposed":[169],"scheme":[170],"achieves":[171],"stronger":[172],"security":[173],"resilience":[175],"against":[176],"possible":[177],"collusion":[178],"attacks.":[179],"Extensive":[180],"simulations":[181],"are":[182],"presented":[183],"demonstrate":[185],"efficiency":[187],"practicality":[189],"scheme.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
