{"id":"https://openalex.org/W2920140932","doi":"https://doi.org/10.1109/jiot.2019.2902528","title":"Optimal Contract-Based Mechanisms for Online Data Trading Markets","display_name":"Optimal Contract-Based Mechanisms for Online Data Trading Markets","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2920140932","doi":"https://doi.org/10.1109/jiot.2019.2902528","mag":"2920140932"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2019.2902528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2019.2902528","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5019111542","display_name":"Ling Tian","orcid":"https://orcid.org/0000-0002-8475-9203"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ling Tian","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8475-9203","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343424","display_name":"Jiaxin Li","orcid":"https://orcid.org/0000-0002-5366-843X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Li","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318387","display_name":"Wei Li","orcid":"https://orcid.org/0000-0003-1837-4759"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0003-1837-4759","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085789980","display_name":"Balasubramaniam Ramesh","orcid":"https://orcid.org/0000-0001-9629-328X"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Balasubramaniam Ramesh","raw_affiliation_strings":["Department of Computer Information Systems, Georgia State University, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Information Systems, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072627238","display_name":"Zhipeng Cai","orcid":"https://orcid.org/0000-0001-6017-975X"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhipeng Cai","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6017-975X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019111542"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":2.9018,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.92834086,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"6","issue":"5","first_page":"7800","last_page":"7810"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9987999796867371,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9980999827384949,"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/T11182","display_name":"Auction Theory and Applications","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision 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":0.7649339437484741},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.667781412601471},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.5484394431114197},{"id":"https://openalex.org/keywords/incentive-compatibility","display_name":"Incentive compatibility","score":0.48969510197639465},{"id":"https://openalex.org/keywords/contract-theory","display_name":"Contract theory","score":0.4717867076396942},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4614371955394745},{"id":"https://openalex.org/keywords/rationality","display_name":"Rationality","score":0.4389115571975708},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4365490972995758},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3292139768600464},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27632156014442444},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.20836728811264038},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.17612680792808533}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7649339437484741},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.667781412601471},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.5484394431114197},{"id":"https://openalex.org/C91810955","wikidata":"https://www.wikidata.org/wiki/Q7731670","display_name":"Incentive compatibility","level":3,"score":0.48969510197639465},{"id":"https://openalex.org/C79301358","wikidata":"https://www.wikidata.org/wiki/Q1918846","display_name":"Contract theory","level":2,"score":0.4717867076396942},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4614371955394745},{"id":"https://openalex.org/C201717286","wikidata":"https://www.wikidata.org/wiki/Q938185","display_name":"Rationality","level":2,"score":0.4389115571975708},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4365490972995758},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3292139768600464},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27632156014442444},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.20836728811264038},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.17612680792808533},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2019.2902528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2019.2902528","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G185173424","display_name":null,"funder_award_id":"1704287","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4769673460","display_name":null,"funder_award_id":"1252292","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5332129434","display_name":null,"funder_award_id":"1829674","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7332619717","display_name":null,"funder_award_id":"1741277","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W633277346","https://openalex.org/W1494137514","https://openalex.org/W1579157456","https://openalex.org/W1600999481","https://openalex.org/W1626398438","https://openalex.org/W1980889765","https://openalex.org/W2006224176","https://openalex.org/W2136317921","https://openalex.org/W2140251882","https://openalex.org/W2162720763","https://openalex.org/W2167686542","https://openalex.org/W2288621752","https://openalex.org/W2295925740","https://openalex.org/W2492435958","https://openalex.org/W2495320776","https://openalex.org/W2517028219","https://openalex.org/W2522306717","https://openalex.org/W2583366857","https://openalex.org/W2588791353","https://openalex.org/W2594210814","https://openalex.org/W2594440255","https://openalex.org/W2596636257","https://openalex.org/W2621620987","https://openalex.org/W2734506410","https://openalex.org/W2734853146","https://openalex.org/W2735280897","https://openalex.org/W2738966171","https://openalex.org/W2741172216","https://openalex.org/W2768222040","https://openalex.org/W2785286326","https://openalex.org/W2787774670","https://openalex.org/W2789321219","https://openalex.org/W2790400697","https://openalex.org/W2790916389","https://openalex.org/W2793843900","https://openalex.org/W2804304272","https://openalex.org/W2904344484","https://openalex.org/W2963409843","https://openalex.org/W2964250372","https://openalex.org/W2984306398","https://openalex.org/W3103352455","https://openalex.org/W4234455617","https://openalex.org/W6629518394","https://openalex.org/W6636500457","https://openalex.org/W6697084455","https://openalex.org/W6726590716"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4391743130","https://openalex.org/W2213805976","https://openalex.org/W3036277495","https://openalex.org/W2909154363","https://openalex.org/W2972398960","https://openalex.org/W2373646743","https://openalex.org/W4393241230"],"abstract_inverted_index":{"In":[0,82],"the":[1,43,50,66,96,136,148,155,158,168,172,178],"age":[2],"of":[3,9,30,79,138,174],"emerging":[4],"applications,":[5],"such":[6],"as":[7,46,48],"Internet":[8],"Things":[10],"(IoT),":[11],"big":[12],"data,":[13],"and":[14,34,54,102,122,133,161,171],"data":[15,32,44,51,56,62,69,71,90,99,103],"mining,":[16],"our":[17,85,127,139,175],"life":[18],"becomes":[19],"more":[20,53,55],"convenient":[21],"through":[22],"customized":[23],"services":[24],"that":[25],"utilize":[26],"a":[27],"huge":[28],"amount":[29],"personal":[31],"generated":[33],"collected":[35],"by":[36],"various":[37],"IoT":[38],"devices.":[39],"To":[40,106],"fully":[41],"exploit":[42],"value":[45],"well":[47],"enhance":[49],"utilization,":[52],"are":[57,73],"being":[58],"traded":[59],"in":[60],"online":[61],"markets.":[63,125],"While":[64],"enjoying":[65],"benefit":[67,101],"from":[68,76],"trading,":[70],"sellers":[72],"also":[74],"suffering":[75],"severe":[77],"risk":[78],"privacy":[80,104],"leakage.":[81],"this":[83],"paper,":[84],"objective":[86],"is":[87,111],"to":[88,113],"maximize":[89],"seller's":[91],"received":[92],"utility":[93,150],"via":[94],"balancing":[95],"tradeoff":[97],"between":[98],"trading":[100,117],"cost.":[105],"achieve":[107],"this,":[108],"contract":[109,116,142,180],"theory":[110],"utilized":[112],"design":[114],"optimal":[115,141],"mechanisms":[118,143,181],"for":[119],"both":[120],"complete":[121],"incomplete":[123],"information":[124],"From":[126],"thorough":[128],"theoretical":[129],"analysis,":[130],"comprehensive":[131],"simulations,":[132],"real-data":[134],"experiments,":[135],"effectiveness":[137],"proposed":[140],"can":[144,151,164,182],"be":[145,152,165,183],"validated,":[146],"i.e.,":[147],"maximum":[149],"obtained":[153],"at":[154,167],"seller":[156],"side,":[157,170],"individual":[159],"rationality":[160],"incentive":[162],"compatibility":[163],"guaranteed":[166],"buyer":[169],"advantages":[173],"mechanism":[176],"over":[177],"single":[179],"confirmed.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}