{"id":"https://openalex.org/W4401863492","doi":"https://doi.org/10.1145/3637528.3671803","title":"RCTD: Reputation-Constrained Truth Discovery in Sybil Attack Crowdsourcing Environment","display_name":"RCTD: Reputation-Constrained Truth Discovery in Sybil Attack Crowdsourcing Environment","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401863492","doi":"https://doi.org/10.1145/3637528.3671803"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671803","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-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/A5023399802","display_name":"Xing Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xing Jin","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001353477","display_name":"Zhitong Gong","orcid":"https://orcid.org/0009-0005-1604-386X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihai Gong","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014188672","display_name":"Jiuchuan Jiang","orcid":"https://orcid.org/0000-0002-8249-1725"},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuchuan Jiang","raw_affiliation_strings":["School of Information Engineering, Nanjing University of Finance and Economics, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanjing University of Finance and Economics, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I137056471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406892","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0001-7578-1970"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":["Research Center for Data Hub and Security, Zhejiang Lab, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Data Hub and Security, Zhejiang Lab, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409868","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0001-6520-9006"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100422319","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-3399-5281"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University & Experimental Center of Data Science and Intelligent Decision-Making, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University & Experimental Center of Data Science and Intelligent Decision-Making, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023399802"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.8238,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80924204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1313","last_page":"1324"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9922999739646912,"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/crowdsourcing","display_name":"Crowdsourcing","score":0.8799121379852295},{"id":"https://openalex.org/keywords/sybil-attack","display_name":"Sybil attack","score":0.7262845635414124},{"id":"https://openalex.org/keywords/reputation","display_name":"Reputation","score":0.6939888000488281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6251838207244873},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5531861186027527},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20850703120231628},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16402950882911682},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.11777111887931824}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.8799121379852295},{"id":"https://openalex.org/C2777505653","wikidata":"https://www.wikidata.org/wiki/Q4470796","display_name":"Sybil attack","level":3,"score":0.7262845635414124},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.6939888000488281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6251838207244873},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5531861186027527},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20850703120231628},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16402950882911682},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.11777111887931824},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637528.3671803","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1916595307","https://openalex.org/W1977810318","https://openalex.org/W2020018978","https://openalex.org/W2024166834","https://openalex.org/W2034771068","https://openalex.org/W2035274534","https://openalex.org/W2039747859","https://openalex.org/W2055090888","https://openalex.org/W2073545563","https://openalex.org/W2086413055","https://openalex.org/W2092277251","https://openalex.org/W2113878109","https://openalex.org/W2114068176","https://openalex.org/W2127935984","https://openalex.org/W2140890285","https://openalex.org/W2145111356","https://openalex.org/W2168144930","https://openalex.org/W2290431464","https://openalex.org/W2578777894","https://openalex.org/W2585226541","https://openalex.org/W2589179198","https://openalex.org/W2767632622","https://openalex.org/W2782152208","https://openalex.org/W2801607016","https://openalex.org/W2892704684","https://openalex.org/W2900703231","https://openalex.org/W2914406776","https://openalex.org/W3081065548","https://openalex.org/W3123404044","https://openalex.org/W3126123353","https://openalex.org/W3188054913","https://openalex.org/W4225768055","https://openalex.org/W4244364296","https://openalex.org/W4290944780","https://openalex.org/W4328028763","https://openalex.org/W6628785978","https://openalex.org/W6656001047","https://openalex.org/W6679158198","https://openalex.org/W6682675497"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869"],"abstract_inverted_index":{"Sybil":[0,199],"attacks":[1],"are":[2],"a":[3,71,102,111,120,138],"prevalent":[4],"concern":[5],"within":[6],"the":[7,12,28,37,51,83,124,130,142,146,161,167,172,198,204],"realm":[8],"of":[9,14,53,74,126,145,194],"crowdsourcing,":[10],"underscoring":[11],"significance":[13],"quality":[15],"control":[16],"in":[17,141,197],"this":[18,78],"domain.":[19],"Truth":[20,116],"discovery":[21,48],"has":[22],"been":[23],"extensively":[24],"studied":[25],"to":[26,90,152,203],"deduce":[27],"most":[29],"trustworthy":[30],"information":[31],"from":[32,156],"conflicting":[33],"data":[34],"based":[35,104],"on":[36,61,105,183],"principle":[38],"that":[39,187],"reliable":[40,43],"workers":[41],"yield":[42],"answers.":[44],"However,":[45],"existing":[46],"truth":[47,147],"approaches":[49],"overlook":[50],"metric":[52,122,135],"workers'":[54,57,75,127,150],"reputations,":[55],"e.g.,":[56],"historical":[58,158],"approval":[59,84,132],"rates":[60],"crowdsourcing":[62],"platforms,":[63],"despite":[64],"being":[65],"inflated":[66],"and":[67,94,99,129],"noisy,":[68],"they":[69],"offer":[70],"rough":[72],"indication":[73],"ability.":[76],"In":[77],"paper,":[79],"we":[80,109],"first":[81],"refine":[82],"rate":[85],"using":[86],"Wilson":[87],"Lower":[88],"Bound":[89],"enhance":[91],"its":[92,97],"confidence,":[93],"then":[95],"mitigate":[96],"noise":[98],"inflation":[100],"through":[101],"method":[103,112],"ranking":[106],"similarity.":[107],"Specifically,":[108],"propose":[110],"called":[113],"RCTD":[114],"(Reputation-Constrained":[115],"Discovery),":[117],"which":[118],"introduces":[119],"similarity":[121],"between":[123],"rankings":[125],"weights":[128,151],"refined":[131],"rates.":[133],"This":[134],"serves":[136],"as":[137],"penalizing":[139],"factor":[140],"objective":[143,168],"function":[144,169],"discovery,":[148],"restricting":[149],"avoid":[153],"excessively":[154],"deviating":[155],"their":[157],"reputation":[159],"during":[160],"weight":[162],"estimation":[163],"process.":[164],"We":[165],"solve":[166],"by":[170],"introducing":[171],"block":[173],"coordinate":[174],"descent":[175],"coupled":[176],"with":[177],"heuristics":[178],"approach":[179,189],"method.":[180],"Experimental":[181],"results":[182,196],"real-world":[184],"datasets":[185],"demonstrate":[186],"our":[188],"achieves":[190],"more":[191],"accurate":[192],"inference":[193],"true":[195],"attack":[200],"environment":[201],"compared":[202],"state-of-the-art":[205],"methods.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}