{"id":"https://openalex.org/W3032617209","doi":"https://doi.org/10.1145/3318464.3389784","title":"Querying Shared Data with Security Heterogeneity","display_name":"Querying Shared Data with Security Heterogeneity","publication_year":2020,"publication_date":"2020-05-29","ids":{"openalex":"https://openalex.org/W3032617209","doi":"https://doi.org/10.1145/3318464.3389784","mag":"3032617209"},"language":"en","primary_location":{"id":"doi:10.1145/3318464.3389784","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318464.3389784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.pure.ed.ac.uk/ws/files/143085316/Querying_Shared_Data_CAO_DOA07042020_AFV.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101426208","display_name":"Yang Cao","orcid":"https://orcid.org/0000-0001-7984-3219"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yang Cao","raw_affiliation_strings":["University of Edinburgh, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070565287","display_name":"Wenfei Fan","orcid":"https://orcid.org/0000-0001-5149-2656"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wenfei Fan","raw_affiliation_strings":["University of Edinburgh, Shenzhen University, &amp; Beihang University, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Shenzhen University, &amp; Beihang University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101486200","display_name":"Yanghao Wang","orcid":"https://orcid.org/0000-0002-6004-1483"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yanghao Wang","raw_affiliation_strings":["University of Edinburgh, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009196125","display_name":"Ke Yi","orcid":"https://orcid.org/0000-0002-2178-3716"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ke Yi","raw_affiliation_strings":["Hong Kong University of Scienc, Hongkong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Scienc, Hongkong, Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101426208"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":0.8229,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78720234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"575","last_page":"585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9998000264167786,"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":0.9998000264167786,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8572660684585571},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6924372911453247},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.6139994263648987},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.6022393107414246},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4965072274208069},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.45091044902801514},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.395061731338501}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8572660684585571},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6924372911453247},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.6139994263648987},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.6022393107414246},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4965072274208069},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.45091044902801514},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.395061731338501},{"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/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},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3318464.3389784","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318464.3389784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/a2f98b5a-1b7d-4942-9275-8378f6c8dea9","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/a2f98b5a-1b7d-4942-9275-8378f6c8dea9","pdf_url":"https://www.pure.ed.ac.uk/ws/files/143085316/Querying_Shared_Data_CAO_DOA07042020_AFV.pdf","source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:repository.ust.hk:1783.1-104368","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000644433700039","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:publications/a2f98b5a-1b7d-4942-9275-8378f6c8dea9","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/a2f98b5a-1b7d-4942-9275-8378f6c8dea9","pdf_url":"https://www.pure.ed.ac.uk/ws/files/143085316/Querying_Shared_Data_CAO_DOA07042020_AFV.pdf","source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G5458651130","display_name":null,"funder_award_id":"M025268","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8298339663","display_name":"VADA: Value Added Data Systems -- Principles and Architecture","funder_award_id":"EP/M025268/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8400180575","display_name":null,"funder_award_id":"EP/M025268/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8891597062","display_name":null,"funder_award_id":"EP/M025268/","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320329053","display_name":"Beijing Advanced Innovation Center for Big Data and Brain Computing","ror":null},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3032617209.pdf","grobid_xml":"https://content.openalex.org/works/W3032617209.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W108488693","https://openalex.org/W959799004","https://openalex.org/W1502629466","https://openalex.org/W1558832481","https://openalex.org/W1565760524","https://openalex.org/W1895952394","https://openalex.org/W1974695870","https://openalex.org/W1999925610","https://openalex.org/W2008199814","https://openalex.org/W2012329067","https://openalex.org/W2016758618","https://openalex.org/W2022082128","https://openalex.org/W2031533839","https://openalex.org/W2042012257","https://openalex.org/W2053801139","https://openalex.org/W2121423622","https://openalex.org/W2139491617","https://openalex.org/W2141420453","https://openalex.org/W2145812340","https://openalex.org/W2159915142","https://openalex.org/W2163087774","https://openalex.org/W2250570571","https://openalex.org/W2260616469","https://openalex.org/W2295522738","https://openalex.org/W2299839756","https://openalex.org/W2486715098","https://openalex.org/W2523246573","https://openalex.org/W2611804663","https://openalex.org/W2788385473","https://openalex.org/W2886689407","https://openalex.org/W2915016908","https://openalex.org/W2948055046","https://openalex.org/W2963132290","https://openalex.org/W2964164543","https://openalex.org/W2988843315","https://openalex.org/W3004063779","https://openalex.org/W4205899062","https://openalex.org/W4206031975","https://openalex.org/W4242281844","https://openalex.org/W4300550233","https://openalex.org/W6766608261"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2356335648"],"abstract_inverted_index":{"There":[0],"has":[1],"been":[2],"increasing":[3],"need":[4],"for":[5,112,116],"secure":[6],"data":[7,14,34,48,73,97,140],"sharing.":[8],"In":[9],"practice":[10],"a":[11,18,90,128],"group":[12],"of":[13,26,38,45,81,130,161],"owners":[15],"often":[16],"adopt":[17],"heterogeneous":[19,60],"security":[20,61,83],"scheme":[21,41],"under":[22],"which":[23],"each":[24],"pair":[25],"parties":[27],"decide":[28],"their":[29],"own":[30],"protocol":[31],"to":[32,94,133],"share":[33],"with":[35],"diverse":[36],"levels":[37],"trust.":[39],"The":[40],"also":[42],"keeps":[43],"track":[44],"how":[46],"the":[47,59,79,124,156],"is":[49,110,120],"used.":[50],"This":[51],"paper":[52],"studies":[53],"distributed":[54,135],"SQL":[55,113],"query":[56,65,87,102,136],"answering":[57,88],"in":[58,78,121],"setting.":[62],"We":[63,85,105],"define":[64],"plans":[66,137],"by":[67,72],"incorporating":[68],"toll":[69,99,142],"functions":[70],"determined":[71],"sharing":[74,98,141],"agreements":[75],"and":[76,100,114,118,143,150,159],"reflected":[77],"use":[80],"various":[82],"facilities.":[84],"formalize":[86],"as":[89],"bi-criteria":[91],"optimization":[92],"problem,":[93],"minimize":[95,139],"both":[96],"parallel":[101,145],"evaluation":[103,146],"cost.":[104,147],"show":[106],"that":[107,138],"this":[108],"problem":[109],"PSPACE-hard":[111],"\u03a3_3^p-hard":[115],"SPC,":[117],"it":[119],"NEXPTIME.":[122],"Despite":[123],"hardness,":[125],"we":[126,153],"develop":[127],"set":[129],"approximate":[131],"algorithms":[132],"generate":[134],"reduce":[144],"Using":[148],"real-life":[149],"synthetic":[151],"data,":[152],"empirically":[154],"verify":[155],"effectiveness,":[157],"scalability":[158],"efficiency":[160],"our":[162],"algorithms.":[163]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
