{"id":"https://openalex.org/W2745425978","doi":"https://doi.org/10.1109/tbdata.2017.2740954","title":"Secure Nearest Neighbors Query for High-Dimensional Vectors in Outsourced Environments","display_name":"Secure Nearest Neighbors Query for High-Dimensional Vectors in Outsourced Environments","publication_year":2017,"publication_date":"2017-08-17","ids":{"openalex":"https://openalex.org/W2745425978","doi":"https://doi.org/10.1109/tbdata.2017.2740954","mag":"2745425978"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2017.2740954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2017.2740954","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Big Data","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/A5041036032","display_name":"Wenzhuo Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenzhuo Xue","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423964","display_name":"Hui Li","orcid":"https://orcid.org/0000-0003-2382-6289"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["School of Cyber Engineering, Xidian University, Xi'an, Shaanxi"],"affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi'an, Shaanxi","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003941820","display_name":"Yanguo Peng","orcid":"https://orcid.org/0000-0002-3210-0714"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanguo Peng","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048420839","display_name":"Jiangtao Cui","orcid":"https://orcid.org/0000-0001-5569-0780"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Cui","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103203341","display_name":"Yu Shi","orcid":"https://orcid.org/0009-0005-5565-5877"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Shi","raw_affiliation_strings":["Tencent, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041036032"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.9751,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82096206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"4","issue":"4","first_page":"586","last_page":"599"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.9952999949455261,"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":0.8424075841903687},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4122549295425415},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2818854749202728}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8424075841903687},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4122549295425415},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2818854749202728}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2017.2740954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2017.2740954","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7990224249","display_name":null,"funder_award_id":"61672408","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8435244398","display_name":null,"funder_award_id":"61472298","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":34,"referenced_works":["https://openalex.org/W185144071","https://openalex.org/W1972622736","https://openalex.org/W2004022907","https://openalex.org/W2024298749","https://openalex.org/W2031533839","https://openalex.org/W2041480327","https://openalex.org/W2051847955","https://openalex.org/W2062493068","https://openalex.org/W2063695313","https://openalex.org/W2065454481","https://openalex.org/W2074356711","https://openalex.org/W2108221199","https://openalex.org/W2109034006","https://openalex.org/W2115016714","https://openalex.org/W2117228865","https://openalex.org/W2124509324","https://openalex.org/W2132172731","https://openalex.org/W2133995768","https://openalex.org/W2136068515","https://openalex.org/W2147717514","https://openalex.org/W2151103935","https://openalex.org/W2156186849","https://openalex.org/W2157855380","https://openalex.org/W2158112071","https://openalex.org/W2159915142","https://openalex.org/W2171027248","https://openalex.org/W2250570571","https://openalex.org/W2293155043","https://openalex.org/W2295946924","https://openalex.org/W2526822862","https://openalex.org/W2533864241","https://openalex.org/W6666422678","https://openalex.org/W6677308130","https://openalex.org/W6727918684"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Due":[0],"to":[1,55,71,124,162],"the":[2,9,32,39,49,56,61,76,102,130,137,141,163,165,169,186,190,193],"explosive":[3],"increase":[4],"of":[5,11,34,67,85,171,188],"data":[6,128,173],"in":[7,31,93,129],"both":[8,189],"aspects":[10],"dimensionality":[12],"and":[13,101,108,118,134,144,151,159,180,192],"volume,":[14],"performing":[15],"k":[16,44,89],"nearest":[17,45],"neighbors":[18,46],"search":[19,47,125,142],"over":[20,148],"cloud":[21,36,58,132,194],"environments":[22,153],"has":[23,70],"been":[24],"progressively":[25],"receiving":[26],"more":[27],"attention":[28],"among":[29],"researchers":[30],"field":[33],"database":[35,62],"computing.":[37],"However,":[38],"key":[40],"challenge":[41],"for":[42,126],"switching":[43],"from":[48],"local":[50],"server":[51],"(i.e.,":[52],"traditional":[53],"way)":[54],"third-party":[57,131],"is,":[59],"that":[60],"which":[63],"always":[64],"contains":[65],"series":[66],"sensitive":[68],"information":[69],"be":[72],"kept":[73],"secret":[74],"against":[75],"cloud.":[77],"In":[78],"this":[79],"work,":[80],"we":[81,112],"present":[82],"a":[83,114],"pair":[84],"solutions":[86,167],"towards":[87],"Secure":[88],"Nearest":[90],"Neighbors(SkNN)":[91],"query":[92],"outsourced":[94],"environments.":[95],"By":[96],"skillfully":[97],"utilizing":[98],"coarse":[99],"quantization":[100],"cryptography":[103],"techniques":[104],"Advanced":[105],"Encryption":[106],"Standard(AES)":[107],"Paillier":[109],"homomorphic":[110],"encryption,":[111],"construct":[113],"secure":[115],"Inverted":[116],"File(IVF)":[117],"compute":[119],"encrypted":[120],"approximate":[121],"distances":[122],"directly":[123],"high-dimensional":[127,172],"provider,":[133],"finally":[135],"find":[136],"better":[138],"tradeoff":[139],"between":[140],"quality":[143],"security.":[145],"Empirical":[146],"study":[147],"real":[149],"datasets":[150],"practical":[152],"validate":[154],"our":[155],"solutions'":[156],"feasibility,":[157],"completeness,":[158],"practicality.":[160],"Compared":[161],"state-of-the-art,":[164],"proposed":[166],"resolve":[168],"SkNN":[170],"novelly,":[174],"have":[175],"very":[176],"limited":[177],"response":[178],"time":[179],"provide":[181],"high":[182],"privacy":[183],"protection":[184],"on":[185],"side":[187],"User":[191],"provider.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
