{"id":"https://openalex.org/W2510946528","doi":"https://doi.org/10.1109/tmm.2016.2602758","title":"Enabling Secure and Fast Indexing for Privacy-Assured Healthcare Monitoring via Compressive Sensing","display_name":"Enabling Secure and Fast Indexing for Privacy-Assured Healthcare Monitoring via Compressive Sensing","publication_year":2016,"publication_date":"2016-08-25","ids":{"openalex":"https://openalex.org/W2510946528","doi":"https://doi.org/10.1109/tmm.2016.2602758","mag":"2510946528"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2016.2602758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2016.2602758","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5064553444","display_name":"Xingliang Yuan","orcid":"https://orcid.org/0000-0002-3701-4946"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Xingliang Yuan","raw_affiliation_strings":["Shenzhen Research Institute, City University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210105229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352786","display_name":"Xinyu Wang","orcid":"https://orcid.org/0000-0002-2602-5551"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Xinyu Wang","raw_affiliation_strings":["Shenzhen Research Institute, City University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210105229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390514","display_name":"Cong Wang","orcid":"https://orcid.org/0000-0003-0547-315X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Cong Wang","raw_affiliation_strings":["Shenzhen Research Institute, City University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210105229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082041657","display_name":"Jian Weng","orcid":"https://orcid.org/0000-0003-4067-8230"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]},{"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":"Jian Weng","raw_affiliation_strings":["Guangdong Provincial Big Data Collaborative Innovation Center, Shenzhen University, Shenzhen, China","School of Information Technology, Jinan University, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Big Data Collaborative Innovation Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"School of Information Technology, Jinan University, Guangdong, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000596496","display_name":"Kui Ren","orcid":"https://orcid.org/0000-0003-3441-6277"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kui Ren","raw_affiliation_strings":["Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.5282,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.97973995,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"18","issue":"10","first_page":"2002","last_page":"2014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9965999722480774,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.8561608791351318},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.7616927623748779},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6313623785972595},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5715138912200928},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5111818909645081},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4491840600967407},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.41580435633659363},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.4155898690223694},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41202986240386963},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.32910382747650146},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2591845989227295},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.24172130227088928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1373773217201233},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08679041266441345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8561608791351318},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.7616927623748779},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6313623785972595},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5715138912200928},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5111818909645081},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4491840600967407},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.41580435633659363},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.4155898690223694},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41202986240386963},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.32910382747650146},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2591845989227295},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.24172130227088928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1373773217201233},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08679041266441345},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2016.2602758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2016.2602758","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1542091479","display_name":"\u51e0\u7c7b\u591a\u7528\u6237\u52a0\u5bc6\u7cfb\u7edf\u7684\u9009\u62e9\u6253\u5f00\u653b\u51fb\u5b89\u5168\u6027\u5173\u952e\u95ee\u9898\u7814\u7a76","funder_award_id":"61472165","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2468165232","display_name":null,"funder_award_id":"61572412","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G28212739","display_name":"\u79c1\u6709\u4e91\u95f4\u534f\u540c\u5b89\u5168\u7684\u6570\u636e\u4fdd\u62a4\u5173\u952e\u95ee\u9898\u7814\u7a76","funder_award_id":"61272415","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3236901455","display_name":null,"funder_award_id":"ITS/307/15","funder_id":"https://openalex.org/F4320324196","funder_display_name":"Innovation and Technology Commission - Hong Kong"},{"id":"https://openalex.org/G4644403442","display_name":"\u6761\u4ef6\u4ee3\u7406\u91cd\u52a0\u5bc6\u5173\u952e\u95ee\u9898\u7684\u7814\u7a76","funder_award_id":"61272413","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G971728831","display_name":"\u4e91\u8ba1\u7b97\u73af\u5883\u4e0b\u6570\u636e\u5b89\u5168\u57fa\u7840\u95ee\u9898\u7814\u7a76","funder_award_id":"61133014","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"},{"id":"https://openalex.org/F4320324196","display_name":"Innovation and Technology Commission - Hong Kong","ror":"https://ror.org/04vf9tr09"},{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W83339351","https://openalex.org/W1741588315","https://openalex.org/W1980100452","https://openalex.org/W1993536048","https://openalex.org/W2001154722","https://openalex.org/W2010126199","https://openalex.org/W2011311335","https://openalex.org/W2014143000","https://openalex.org/W2017761965","https://openalex.org/W2032127253","https://openalex.org/W2038276547","https://openalex.org/W2052216142","https://openalex.org/W2064305541","https://openalex.org/W2086763678","https://openalex.org/W2088255299","https://openalex.org/W2105408098","https://openalex.org/W2119667497","https://openalex.org/W2133386065","https://openalex.org/W2135155393","https://openalex.org/W2138001464","https://openalex.org/W2138665942","https://openalex.org/W2145426052","https://openalex.org/W2152516507","https://openalex.org/W2155502235","https://openalex.org/W2156427286","https://openalex.org/W2158303609","https://openalex.org/W2169382889","https://openalex.org/W2170037597","https://openalex.org/W2294930336","https://openalex.org/W2397770138","https://openalex.org/W4285719527","https://openalex.org/W6603300922","https://openalex.org/W6637740340","https://openalex.org/W6685012337"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W3024364549","https://openalex.org/W4300044672","https://openalex.org/W2109940557","https://openalex.org/W2810730439","https://openalex.org/W4206019083","https://openalex.org/W2466832359","https://openalex.org/W1881631164","https://openalex.org/W1976265003"],"abstract_inverted_index":{"As":[0],"e-health":[1],"technology":[2],"continues":[3],"to":[4,28,97,114,131,161],"advance,":[5],"health":[6],"related":[7,44],"multimedia":[8],"data":[9,39,50,69,79,87,136,203,240],"is":[10,127],"being":[11],"exponentially":[12],"generated":[13,108],"from":[14],"healthcare":[15,42,63,228],"monitoring":[16,64],"devices":[17],"and":[18,32,43,71,90,99,157,222,236],"sensors.":[19],"Coming":[20],"with":[21,73,111,133,167,183],"it":[22],"are":[23],"the":[24,102,112,128,134],"challenges":[25],"on":[26,95,150,189,225],"how":[27,96],"efficiently":[29],"acquire,":[30],"index,":[31],"process":[33],"such":[34],"a":[35,57,163,210,226],"huge":[36],"amount":[37,105],"of":[38,106,212,233],"for":[40,61,85],"effective":[41],"decision":[45],"making,":[46],"while":[47],"respecting":[48],"user's":[49],"privacy.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,81,145],"propose":[56],"secure":[58,98,116],"cloud-based":[59],"framework":[60],"privacy-aware":[62],"systems,":[65],"which":[66],"allows":[67],"fast":[68,100],"acquisition":[70,140],"indexing":[72,155,213],"strong":[74],"privacy":[75],"assurance.":[76],"For":[77,142],"efficient":[78,153],"acquisition,":[80],"adopt":[82],"compressive":[83],"sensing":[84],"easy":[86],"sampling,":[88],"compression,":[89],"recovery.":[91],"We":[92],"then":[93],"focus":[94],"index":[101,166,199],"resulting":[103],"large":[104],"continuously":[107],"compressed":[109,120,202],"samples,":[110],"goal":[113],"achieve":[115],"selected":[117],"retrieval":[118,235],"over":[119,238],"storage.":[121],"Among":[122],"others,":[123],"one":[124],"particular":[125],"challenge":[126],"practical":[129],"demand":[130],"cope":[132],"incoming":[135],"samples":[137,204,218],"in":[138],"high":[139],"rates.":[141],"that":[143,193],"problem,":[144],"carefully":[146],"exploit":[147],"recent":[148],"efforts":[149],"encrypted":[151,165,195,217,239],"search,":[152],"content-based":[154],"techniques,":[156],"fine-grained":[158],"locking":[159],"algorithms,":[160],"design":[162,196],"novel":[164],"high-performance":[168],"customization.":[169],"It":[170],"achieves":[171],"memory":[172],"efficiency,":[173],"provable":[174],"security,":[175],"as":[176,178],"well":[177],"greatly":[179],"improved":[180],"building":[181],"speed":[182],"nontrivial":[184],"multithread":[185],"support.":[186],"Comprehensive":[187],"evaluations":[188],"Amazon":[190],"Cloud":[191],"show":[192],"our":[194],"can":[197],"securely":[198],"1":[200],"billion":[201],"within":[205],"only":[206],"12":[207],"min,":[208],"achieving":[209],"throughput":[211],"almost":[214],"1.4":[215],"million":[216],"per":[219],"second.":[220],"Accuracy":[221],"visual":[223],"evaluation":[224],"real":[227],"dataset":[229],"shows":[230],"good":[231],"quality":[232],"high-value":[234],"recovery":[237],"samples.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
