{"id":"https://openalex.org/W4284711366","doi":"https://doi.org/10.1109/iwqos54832.2022.9812897","title":"Nearly Optimal Protocols for Computing Multi-party Private Set Union","display_name":"Nearly Optimal Protocols for Computing Multi-party Private Set Union","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4284711366","doi":"https://doi.org/10.1109/iwqos54832.2022.9812897"},"language":"en","primary_location":{"id":"doi:10.1109/iwqos54832.2022.9812897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos54832.2022.9812897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS)","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/A5089227670","display_name":"Xuhui Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuhui Gong","raw_affiliation_strings":["Huazhong University of Science and Technology,National Engineering Research Center&#x2013;Big Data Technology and System Lab,Key Laboratory of Services Computing Technology and System, Key Laboratory of Cluster and Grid Computing, School of Computer Science and Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,National Engineering Research Center&#x2013;Big Data Technology and System Lab,Key Laboratory of Services Computing Technology and System, Key Laboratory of Cluster and Grid Computing, School of Computer Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060679441","display_name":"Qiang-Sheng Hua","orcid":"https://orcid.org/0000-0002-3909-5719"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang-Sheng Hua","raw_affiliation_strings":["Huazhong University of Science and Technology,National Engineering Research Center&#x2013;Big Data Technology and System Lab,Key Laboratory of Services Computing Technology and System, Key Laboratory of Cluster and Grid Computing, School of Computer Science and Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,National Engineering Research Center&#x2013;Big Data Technology and System Lab,Key Laboratory of Services Computing Technology and System, Key Laboratory of Cluster and Grid Computing, School of Computer Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022262922","display_name":"Hai Jin","orcid":"https://orcid.org/0000-0002-3934-7605"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Jin","raw_affiliation_strings":["Huazhong University of Science and Technology,National Engineering Research Center&#x2013;Big Data Technology and System Lab,Key Laboratory of Services Computing Technology and System, Key Laboratory of Cluster and Grid Computing, School of Computer Science and Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,National Engineering Research Center&#x2013;Big Data Technology and System Lab,Key Laboratory of Services Computing Technology and System, Key Laboratory of Cluster and Grid Computing, School of Computer Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089227670"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.6896,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7463352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":1.0,"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/T10237","display_name":"Cryptography and Data Security","score":1.0,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9977999925613403,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/homomorphic-encryption","display_name":"Homomorphic encryption","score":0.8401302099227905},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7122908234596252},{"id":"https://openalex.org/keywords/oblivious-transfer","display_name":"Oblivious transfer","score":0.6920729875564575},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.6557576656341553},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.6547725200653076},{"id":"https://openalex.org/keywords/eavesdropping","display_name":"Eavesdropping","score":0.6447053551673889},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5748654007911682},{"id":"https://openalex.org/keywords/security-parameter","display_name":"Security parameter","score":0.5152514576911926},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.48590198159217834},{"id":"https://openalex.org/keywords/communication-complexity","display_name":"Communication complexity","score":0.4813588261604309},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.47927019000053406},{"id":"https://openalex.org/keywords/set-operations","display_name":"Set operations","score":0.4779520034790039},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.47095900774002075},{"id":"https://openalex.org/keywords/universal-composability","display_name":"Universal composability","score":0.4505062401294708},{"id":"https://openalex.org/keywords/cryptographic-protocol","display_name":"Cryptographic protocol","score":0.43762069940567017},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4196263551712036},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.361783504486084},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18437981605529785}],"concepts":[{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.8401302099227905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7122908234596252},{"id":"https://openalex.org/C53076038","wikidata":"https://www.wikidata.org/wiki/Q2915383","display_name":"Oblivious transfer","level":3,"score":0.6920729875564575},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.6557576656341553},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.6547725200653076},{"id":"https://openalex.org/C2776788033","wikidata":"https://www.wikidata.org/wiki/Q320769","display_name":"Eavesdropping","level":2,"score":0.6447053551673889},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5748654007911682},{"id":"https://openalex.org/C2776711565","wikidata":"https://www.wikidata.org/wiki/Q7445058","display_name":"Security parameter","level":3,"score":0.5152514576911926},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48590198159217834},{"id":"https://openalex.org/C179145077","wikidata":"https://www.wikidata.org/wiki/Q5154130","display_name":"Communication complexity","level":2,"score":0.4813588261604309},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.47927019000053406},{"id":"https://openalex.org/C2777168461","wikidata":"https://www.wikidata.org/wiki/Q42196253","display_name":"Set operations","level":3,"score":0.4779520034790039},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.47095900774002075},{"id":"https://openalex.org/C165751822","wikidata":"https://www.wikidata.org/wiki/Q7894118","display_name":"Universal composability","level":4,"score":0.4505062401294708},{"id":"https://openalex.org/C33884865","wikidata":"https://www.wikidata.org/wiki/Q1254335","display_name":"Cryptographic protocol","level":3,"score":0.43762069940567017},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4196263551712036},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.361783504486084},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18437981605529785},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwqos54832.2022.9812897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos54832.2022.9812897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.46000000834465027}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W44936433","https://openalex.org/W111490960","https://openalex.org/W173953576","https://openalex.org/W955100975","https://openalex.org/W1493307014","https://openalex.org/W1522597308","https://openalex.org/W1567397627","https://openalex.org/W1588988829","https://openalex.org/W1882685508","https://openalex.org/W1987667503","https://openalex.org/W2004957971","https://openalex.org/W2019891719","https://openalex.org/W2023279925","https://openalex.org/W2025051251","https://openalex.org/W2088492763","https://openalex.org/W2112022568","https://openalex.org/W2123845384","https://openalex.org/W2132172731","https://openalex.org/W2143087446","https://openalex.org/W2155040491","https://openalex.org/W2196528695","https://openalex.org/W2233233025","https://openalex.org/W2290626493","https://openalex.org/W2525198533","https://openalex.org/W2570634592","https://openalex.org/W2585287165","https://openalex.org/W2617299507","https://openalex.org/W2733357785","https://openalex.org/W2794166119","https://openalex.org/W2886749279","https://openalex.org/W2899973313","https://openalex.org/W2991526022","https://openalex.org/W3010992154","https://openalex.org/W3141585064","https://openalex.org/W3164295456","https://openalex.org/W4255390010","https://openalex.org/W4284711366","https://openalex.org/W6600411087","https://openalex.org/W6755982596"],"related_works":["https://openalex.org/W3032220256","https://openalex.org/W2394523232","https://openalex.org/W2263219717","https://openalex.org/W1999731694","https://openalex.org/W2395096339","https://openalex.org/W3029120196","https://openalex.org/W1513583860","https://openalex.org/W2145818182","https://openalex.org/W2791558958","https://openalex.org/W4284711366"],"abstract_inverted_index":{"Private":[0,24,224],"Set":[1,25,225],"Operations":[2],"(PSO)":[3],"are":[4,107,131],"a":[5,70,95,177,233],"hot":[6],"research":[7,15],"topic":[8],"and":[9,61,72,133,147,156,180,231,249,303],"one":[10,29],"of":[11,30,42,53,97,276,283,286],"the":[12,21,31,40,54,80,126,164,171,188,198,209,213,256,274,284,287,292,299],"most":[13,52],"extensive":[14],"problems":[16],"in":[17,216,278],"data":[18,44,288],"mining.":[19],"In":[20,64,83,192,271],"PSO,":[22],"Multi-party":[23],"Union":[26,226],"(MPSU)":[27],"is":[28,176,187,281],"fundamental":[32],"problems.":[33],"It":[34,244],"allows":[35],"some":[36],"participants":[37,90,117,130],"to":[38,75,110],"learn":[39],"union":[41,190],"their":[43],"sets":[45],"without":[46],"leaking":[47],"any":[48],"useful":[49],"information.":[50],"However,":[51],"existing":[55,293],"works":[56],"have":[57,298],"high":[58],"communication,":[59,301],"computation":[60,302],"round":[62,304],"complexities.":[63,305],"this":[65,219,279],"paper,":[66],"we":[67,194,228],"first":[68,141],"propose":[69],"novel":[71],"efficient":[73,235],"protocol":[74,142,207,236,280],"securely":[76],"compute":[77],"MPSU":[78,172],"under":[79],"semi-honest":[81],"model.":[82],"our":[84,205,295],"system":[85],"model,":[86],"there":[87],"exist":[88],"n":[89,202],"where":[91,174],"each":[92,122],"participant":[93],"has":[94,157,208],"set":[96,189],"size":[98,285],"k":[99],"(k":[100,182],"could":[101,119],"be":[102],"different":[103],"among":[104,129],"participants).":[105],"There":[106],"also":[108],"up":[109],"t":[111,114],"(0":[112],"\u2264":[113,183,185],"<":[115],"n)":[116,169],"which":[118,161,253],"collude":[120],"with":[121,291],"other.":[123],"We":[124],"suppose":[125],"communication":[127,159,165,251,257],"channels":[128],"insecure":[132],"can":[134],"easily":[135],"suffer":[136],"from":[137],"eavesdropping":[138],"attacks.":[139],"Our":[140],"using":[143,237,265],"element":[144],"computing":[145],"algorithm":[146],"Homomorphic":[148],"Encryption,":[149],"i.e.,":[150,201,222,242],"HE-MPSU,":[151],"only":[152,245],"requires":[153,246],"O(1)":[154,247],"rounds":[155,248],"O(nN\u03bb)":[158],"complexity":[160,252],"almost":[162,254],"matches":[163,255],"lower":[166,258],"bound":[167,259],"\u03a9(nN/log":[168],"for":[170,197],"problem,":[173],"\u03bb":[175],"security":[178],"parameter":[179],"N":[181,184],"nk)":[186],"cardinality.":[191],"addition,":[193],"note":[195],"that":[196],"two-party":[199,223],"case,":[200,221],"=":[203],"2,":[204],"HE-MPSU":[206],"same":[210],"complexities":[211],"as":[212],"state-of-the-art":[214],"work":[215],"[1].":[217],"For":[218],"special":[220],"(PSU),":[227],"further":[229],"optimize":[230],"design":[232],"more":[234],"oblivious":[238],"transfer":[239],"(OT)":[240],"protocol,":[241],"OT-PSU.":[243],"O(k\u03bb)":[250],"\u03a9(k).":[260],"More":[261],"importantly,":[262],"it":[263],"avoids":[264],"computationally":[266],"expensive":[267],"public-key":[268],"operations":[269],"(exponentiations).":[270],"other":[272],"words,":[273],"number":[275],"exponentiations":[277],"independent":[282],"sets.":[289],"Compared":[290],"protocols,":[294],"two":[296],"protocols":[297],"lowest":[300]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
