{"id":"https://openalex.org/W2469640970","doi":"https://doi.org/10.1145/2940343.2948717","title":"Efficient privacy-preserving schemes for dot-product computation in mobile computing","display_name":"Efficient privacy-preserving schemes for dot-product computation in mobile computing","publication_year":2016,"publication_date":"2016-07-05","ids":{"openalex":"https://openalex.org/W2469640970","doi":"https://doi.org/10.1145/2940343.2948717","mag":"2469640970"},"language":"en","primary_location":{"id":"doi:10.1145/2940343.2948717","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2940343.2948717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM Workshop on Privacy-Aware Mobile Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007408033","display_name":"Chunqiang Hu","orcid":"https://orcid.org/0000-0001-5825-2241"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunqiang Hu","raw_affiliation_strings":["George Washington University, Washington DC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Washington University, Washington DC","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001850067","display_name":"Ruinian Li","orcid":"https://orcid.org/0000-0003-4452-0502"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruinian Li","raw_affiliation_strings":["George Washington University, Washington DC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Washington University, Washington DC","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318215","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-5286-0067"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["George Washington University, Washington DC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Washington University, Washington DC","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624236","display_name":"Jiguo Yu","orcid":"https://orcid.org/0000-0001-6451-1158"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiguo Yu","raw_affiliation_strings":["Qufu Normal University, Qufu, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qufu Normal University, Qufu, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073942971","display_name":"Zhi Tian","orcid":"https://orcid.org/0000-0002-2738-6826"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhi Tian","raw_affiliation_strings":["George Mason University, Fairfax, VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030902303","display_name":"Rongfang Bie","orcid":"https://orcid.org/0000-0002-9971-7698"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongfang Bie","raw_affiliation_strings":["Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"59"},"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":0.9998000264167786,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9902999997138977,"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/computer-science","display_name":"Computer science","score":0.7758617997169495},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7188962697982788},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.6221468448638916},{"id":"https://openalex.org/keywords/dot-product","display_name":"Dot product","score":0.5322280526161194},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4420907199382782},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4175727367401123},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.27239036560058594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11811858415603638},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06663161516189575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7758617997169495},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7188962697982788},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.6221468448638916},{"id":"https://openalex.org/C32900221","wikidata":"https://www.wikidata.org/wiki/Q181365","display_name":"Dot product","level":2,"score":0.5322280526161194},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4420907199382782},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4175727367401123},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.27239036560058594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11811858415603638},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06663161516189575},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2940343.2948717","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2940343.2948717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM Workshop on Privacy-Aware Mobile Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W590722630","https://openalex.org/W1534388293","https://openalex.org/W1552158811","https://openalex.org/W1601001795","https://openalex.org/W1724472458","https://openalex.org/W1889645976","https://openalex.org/W2000077104","https://openalex.org/W2003701949","https://openalex.org/W2014707660","https://openalex.org/W2021553056","https://openalex.org/W2028234853","https://openalex.org/W2036169870","https://openalex.org/W2056556714","https://openalex.org/W2075551143","https://openalex.org/W2076195444","https://openalex.org/W2081930221","https://openalex.org/W2090601235","https://openalex.org/W2092422002","https://openalex.org/W2105021551","https://openalex.org/W2108834246","https://openalex.org/W2133862308","https://openalex.org/W2147866554","https://openalex.org/W2149998042","https://openalex.org/W2156186849","https://openalex.org/W2171777347","https://openalex.org/W2885727518","https://openalex.org/W3141585064"],"related_works":["https://openalex.org/W2046435967","https://openalex.org/W4231775656","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2354191502","https://openalex.org/W1972225038","https://openalex.org/W3134658850","https://openalex.org/W2355938171","https://openalex.org/W2914876789","https://openalex.org/W4231483845"],"abstract_inverted_index":{"Many":[0],"applications":[1,85],"of":[2,8,10,17,26,38,41,56,78,141,147],"mobile":[3,49,83],"computing":[4,84],"require":[5],"the":[6,15,23,39,54,63,76,94,109,139,142],"computation":[7,58,81],"dot-product":[9,16,57,80],"two":[11,42,64,103],"vectors.":[12],"For":[13],"examples,":[14],"an":[18],"individual's":[19],"genome":[20],"data":[21],"and":[22,36,93,106,116,133,149],"gene":[24],"biomarkers":[25],"a":[27],"health":[28],"center":[29],"can":[30,44,128],"help":[31],"detect":[32],"diseases":[33],"in":[34,48,86,145],"m-Health,":[35],"that":[37,124],"interests":[40],"persons":[43],"facilitate":[45],"friend":[46],"discovery":[47],"social":[50],"networks.":[51],"Nevertheless,":[52],"exposing":[53],"inputs":[55],"discloses":[59],"sensitive":[60],"information":[61],"about":[62],"participants,":[65],"leading":[66],"to":[67,113],"severe":[68],"privacy":[69],"violations.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74,121],"tackle":[75],"problem":[77],"privacy-preserving":[79],"targeting":[82],"which":[87],"secure":[88],"channels":[89],"are":[90],"hardly":[91],"established,":[92],"computational":[95,150],"efficiency":[96,115],"is":[97],"highly":[98],"desirable.":[99],"We":[100],"first":[101],"propose":[102],"basic":[104],"schemes":[105,127,144],"then":[107],"present":[108],"corresponding":[110],"advanced":[111],"versions":[112],"improve":[114],"enhance":[117],"privacy-protection":[118],"strength.":[119],"Furthermore,":[120],"theoretically":[122],"prove":[123],"our":[125],"proposed":[126,143],"simultaneously":[129],"achieve":[130],"privacy-preservation,":[131],"non-repudiation,":[132],"accountability.":[134],"Our":[135],"numerical":[136],"results":[137],"verify":[138],"performance":[140],"terms":[146],"communication":[148],"overheads.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}