{"id":"https://openalex.org/W2909601094","doi":"https://doi.org/10.1109/itw.2018.8613517","title":"Private Information Retrieval from Multiple Access Channels","display_name":"Private Information Retrieval from Multiple Access Channels","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2909601094","doi":"https://doi.org/10.1109/itw.2018.8613517","mag":"2909601094"},"language":"en","primary_location":{"id":"doi:10.1109/itw.2018.8613517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2018.8613517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-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/A5062418593","display_name":"Karim Banawan","orcid":"https://orcid.org/0000-0001-8547-5010"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Karim Banawan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Maryland, College Park, MD"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021132487","display_name":"\u015eennur Uluku\u015f","orcid":"https://orcid.org/0000-0002-8219-8190"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sennur Ulukus","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Maryland, College Park, MD"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062418593"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.6515,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77841351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"5"},"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9965000152587891,"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":0.7736505270004272},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6848006844520569},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.5797991752624512},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5740249752998352},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5596311092376709},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.530888020992279},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5178061723709106},{"id":"https://openalex.org/keywords/channel-capacity","display_name":"Channel capacity","score":0.4992642402648926},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47219809889793396},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4532237946987152},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3596336245536804},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1895332634449005},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09939208626747131}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7736505270004272},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6848006844520569},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.5797991752624512},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5740249752998352},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5596311092376709},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.530888020992279},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5178061723709106},{"id":"https://openalex.org/C97744766","wikidata":"https://www.wikidata.org/wiki/Q870845","display_name":"Channel capacity","level":3,"score":0.4992642402648926},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47219809889793396},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4532237946987152},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3596336245536804},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1895332634449005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09939208626747131},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itw.2018.8613517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2018.8613517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.47999998927116394,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1488650642","https://openalex.org/W1619839175","https://openalex.org/W1962818100","https://openalex.org/W2007725949","https://openalex.org/W2073346043","https://openalex.org/W2531251918","https://openalex.org/W2536862651","https://openalex.org/W2549939309","https://openalex.org/W2584331985","https://openalex.org/W2593599278","https://openalex.org/W2599749253","https://openalex.org/W2608199279","https://openalex.org/W2613816905","https://openalex.org/W2746464728","https://openalex.org/W2752936485","https://openalex.org/W2760864671","https://openalex.org/W2766909070","https://openalex.org/W2768218911","https://openalex.org/W2768296645","https://openalex.org/W2774968492","https://openalex.org/W2808769206","https://openalex.org/W2886023600","https://openalex.org/W2895239415","https://openalex.org/W2906543194","https://openalex.org/W2919256594","https://openalex.org/W2949996686","https://openalex.org/W2962692592","https://openalex.org/W2963066199","https://openalex.org/W2963076098","https://openalex.org/W2963175488","https://openalex.org/W2963246398","https://openalex.org/W2963413537","https://openalex.org/W2963547297","https://openalex.org/W2963778357","https://openalex.org/W2963818764","https://openalex.org/W2963898134","https://openalex.org/W2964081636","https://openalex.org/W2965859926","https://openalex.org/W3007542335","https://openalex.org/W3010011586","https://openalex.org/W3100195636","https://openalex.org/W3105958450","https://openalex.org/W4301851252","https://openalex.org/W4302383326","https://openalex.org/W6728794560","https://openalex.org/W6736791906","https://openalex.org/W6737074102","https://openalex.org/W6739303810","https://openalex.org/W6743845599","https://openalex.org/W6744121996","https://openalex.org/W6744449613","https://openalex.org/W6745682110","https://openalex.org/W6746158025","https://openalex.org/W6746959007","https://openalex.org/W6747685180","https://openalex.org/W6748380489","https://openalex.org/W6760399831"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"We":[0,47,73],"consider":[1],"the":[2,19,29,40,51,55,66,76,81,84,89,100,108,114,118,121,130,139,142],"private":[3,68],"information":[4,69],"retrieval":[5,61,70,77],"problem":[6,71],"from":[7],"multiple":[8,33],"access":[9,34],"channels":[10],"(MAC-PIR).":[11],"In":[12],"MAC-PIR,":[13],"there":[14],"areN":[15],"databases,":[16],"each":[17],"storing":[18],"same":[20],"set":[21],"of":[22,83,120,141],"M":[23],"messages.":[24],"The":[25],"database":[26],"responses":[27,41],"reach":[28],"user":[30,115],"through":[31],"a":[32,44],"channel":[35,58,122],"(MAC)":[36],"that":[37,49,75,98,113,129],"may":[38],"mix":[39],"together":[42],"in":[43,86,123],"stochastic":[45],"way.":[46],"show":[48,74,128],"for":[50],"additive":[52],"MAC":[53],"and":[54,60],"conjunction/disjunction":[56],"MAC,":[57,85],"coding":[59],"scheme":[62,78],"are":[63],"inseparable":[64],"unlike":[65],"noisy":[67],"(NPIR).":[72],"depends":[79],"on":[80,88],"properties":[82],"particular":[87],"linearity":[90],"aspect.":[91],"For":[92],"both":[93],"cases,":[94],"we":[95,127],"provide":[96],"schemes":[97],"achieve":[99],"full":[101,131],"capacity":[102,132,140],"without":[103],"any":[104],"loss":[105],"due":[106],"to":[107],"privacy":[109],"constraint,":[110],"which":[111],"implies":[112],"can":[116],"exploit":[117],"nature":[119],"its":[124],"favor.":[125],"Finally,":[126],"is":[133],"not":[134],"always":[135],"attainable":[136],"by":[137],"determining":[138],"selection":[143],"channel.":[144]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
