{"id":"https://openalex.org/W4408792300","doi":"https://doi.org/10.1109/tsc.2025.3553698","title":"OblivTime: Oblivious and Efficient Interval Skyline Query Processing Over Encrypted Time-Series Data","display_name":"OblivTime: Oblivious and Efficient Interval Skyline Query Processing Over Encrypted Time-Series Data","publication_year":2025,"publication_date":"2025-03-24","ids":{"openalex":"https://openalex.org/W4408792300","doi":"https://doi.org/10.1109/tsc.2025.3553698"},"language":"en","primary_location":{"id":"doi:10.1109/tsc.2025.3553698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2025.3553698","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"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 Transactions on Services Computing","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/A5019624586","display_name":"Hongfei OuYang","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huajie Ouyang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086945099","display_name":"Yifeng Zheng","orcid":"https://orcid.org/0000-0001-7852-6051"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yifeng Zheng","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089448389","display_name":"Songlei Wang","orcid":"https://orcid.org/0000-0003-4063-1694"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songlei Wang","raw_affiliation_strings":["National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007080915","display_name":"Zhongyun Hua","orcid":"https://orcid.org/0000-0002-3529-0541"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyun Hua","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019624586"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":3.6542,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92306599,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"18","issue":"3","first_page":"1602","last_page":"1617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9567999839782715,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8568288087844849},{"id":"https://openalex.org/keywords/skyline","display_name":"Skyline","score":0.8194124698638916},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.612312376499176},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5525286197662354},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5484146475791931},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.43904802203178406},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.4258122742176056},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39618542790412903},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36577874422073364},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33012691140174866},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11126723885536194},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09189441800117493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8568288087844849},{"id":"https://openalex.org/C2780757406","wikidata":"https://www.wikidata.org/wiki/Q465837","display_name":"Skyline","level":2,"score":0.8194124698638916},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.612312376499176},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5525286197662354},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5484146475791931},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.43904802203178406},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.4258122742176056},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39618542790412903},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36577874422073364},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33012691140174866},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11126723885536194},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09189441800117493},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsc.2025.3553698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2025.3553698","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"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 Transactions on Services Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5199999809265137,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G7366406415","display_name":null,"funder_award_id":"2024A1515012299","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1978583881","https://openalex.org/W2033201837","https://openalex.org/W2155490300","https://openalex.org/W2167529291","https://openalex.org/W2169872697","https://openalex.org/W2400124473","https://openalex.org/W2532292902","https://openalex.org/W2533357737","https://openalex.org/W2536058570","https://openalex.org/W2616664865","https://openalex.org/W2639926268","https://openalex.org/W2794508460","https://openalex.org/W2811266412","https://openalex.org/W2891392853","https://openalex.org/W2891666751","https://openalex.org/W2984157150","https://openalex.org/W2990722039","https://openalex.org/W2990762906","https://openalex.org/W3090476547","https://openalex.org/W3109688427","https://openalex.org/W3133642374","https://openalex.org/W3155184874","https://openalex.org/W3175037278","https://openalex.org/W3198877436","https://openalex.org/W3202927949","https://openalex.org/W3214260160","https://openalex.org/W4213441112","https://openalex.org/W4214771680","https://openalex.org/W4249224151","https://openalex.org/W4288057784","https://openalex.org/W4308381127","https://openalex.org/W4308644336","https://openalex.org/W4312370400","https://openalex.org/W4378527334","https://openalex.org/W6713547331","https://openalex.org/W6750390596","https://openalex.org/W6767244752","https://openalex.org/W6773795086","https://openalex.org/W6784374016","https://openalex.org/W6797329691","https://openalex.org/W6850193174"],"related_works":["https://openalex.org/W1994126304","https://openalex.org/W2087306197","https://openalex.org/W1973297295","https://openalex.org/W2316530548","https://openalex.org/W2505069962","https://openalex.org/W3096764880","https://openalex.org/W2039842051","https://openalex.org/W2317048282","https://openalex.org/W1580710993","https://openalex.org/W2043355600"],"abstract_inverted_index":{"Time-series":[0],"data":[1,25,32,107,153],"is":[2,16,103,146],"prevalent":[3],"in":[4,26,35,109,122,187],"many":[5],"applications":[6,110],"like":[7,111],"smart":[8,10],"homes,":[9],"grids,":[11],"and":[12,22,135,157,165],"healthcare.":[13],"And":[14],"it":[15,42],"now":[17],"increasingly":[18],"common":[19],"to":[20,44,84,183],"store":[21],"query":[23,99,139,168,189],"time-series":[24,106,143,152],"the":[27,30,50,74,171,192],"cloud.":[28],"Despite":[29],"benefits,":[31],"privacy":[33,46],"concerns":[34],"such":[36],"outsourced":[37],"services":[38],"are":[39,89],"pressing,":[40],"making":[41],"imperative":[43],"embed":[45],"assurance":[47],"mechanisms":[48],"from":[49,148],"outset.":[51],"Most":[52],"existing":[53],"related":[54],"works":[55],"have":[56],"been":[57],"focused":[58],"on":[59,73],"querying":[60],"for":[61,77,105,133],"different":[62],"types":[63],"of":[64,151],"aggregate":[65],"statistics.":[66],"In":[67],"this":[68],"article,":[69],"we":[70],"instead":[71],"focus":[72],"secure":[75],"support":[76],"advanced":[78],"interval":[79,137],"skyline":[80,138],"queries,":[81],"which":[82],"allow":[83],"identify":[85],"time":[86,95,100],"series":[87,96],"that":[88,178],"not":[90],"dominated":[91],"by":[92],"any":[93],"other":[94],"within":[97],"a":[98,123,129,149],"interval.":[101],"This":[102],"valuable":[104],"analytics":[108],"remote":[112],"health":[113],"monitoring":[114],"(e.g.,":[115],"identifying":[116],"patients":[117],"with":[118],"high":[119],"heart":[120],"rates":[121],"certain":[124],"week).":[125],"We":[126],"present":[127],"OblivTime,":[128],"new":[130],"system":[131],"framework":[132],"oblivious":[134],"efficient":[136],"processing":[140],"over":[141,170,191],"encrypted":[142],"data.":[144],"OblivTime":[145,179],"built":[147],"synergy":[150],"analytics,":[154],"lightweight":[155],"cryptography,":[156],"GPU":[158],"parallel":[159],"computing,":[160],"achieving":[161],"stronger":[162],"security":[163],"guarantees":[164],"lower":[166],"online":[167,188],"latency":[169,190],"state-of-the-art":[172,193],"prior":[173,194],"work.":[174,195],"Extensive":[175],"experiments":[176],"demonstrate":[177],"can":[180],"achieve":[181],"up":[182],"<inline-formula><tex-math":[184],"notation=\"LaTeX\">$666\\times$</tex-math></inline-formula>":[185],"speedup":[186]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
