{"id":"https://openalex.org/W2149393733","doi":"https://doi.org/10.1109/infcom.2007.145","title":"Anonymous Tracking Using RFID Tags","display_name":"Anonymous Tracking Using RFID Tags","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2149393733","doi":"https://doi.org/10.1109/infcom.2007.145","mag":"2149393733"},"language":"en","primary_location":{"id":"doi:10.1109/infcom.2007.145","doi":"https://doi.org/10.1109/infcom.2007.145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2007.145","pdf_url":null,"source":{"id":"https://openalex.org/S7407087743","display_name":"IEEE Conference on Computer Communications (INFOCOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5108507325","display_name":"Murali S. Kodialam","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Kodialam","raw_affiliation_strings":["Bell Laboratories, Holmdel, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bell Laboratories, Holmdel, NJ, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073973951","display_name":"Thyaga Nandagopal","orcid":"https://orcid.org/0000-0002-4928-0256","observed_orcids":["https://orcid.org/0000-0002-4928-0256"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Nandagopal","raw_affiliation_strings":["Bell Laboratories, Holmdel, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bell Laboratories, Holmdel, NJ, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020413351","display_name":"Wing Cheong Lau","orcid":"https://orcid.org/0000-0003-1179-7855","observed_orcids":["https://orcid.org/0000-0003-1179-7855"]},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"W. C. Lau","raw_affiliation_strings":["Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4456,"has_fulltext":false,"cited_by_count":154,"citation_normalized_percentile":{"value":0.91486564,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1217","last_page":"1225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10986","display_name":"RFID technology advancements","score":0.9901999831199646,"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"}},"topics":[{"id":"https://openalex.org/T10986","display_name":"RFID technology advancements","score":0.9901999831199646,"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.0026000000070780516,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.001500000013038516,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rfid-tags","display_name":"RFID tags","score":0.8009999990463257},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"privacy preservation","score":0.8809999823570251},{"id":"https://openalex.org/keywords/cardinality-estimation","display_name":"cardinality estimation","score":0.8450000286102295},{"id":"https://openalex.org/keywords/privacy-violations","display_name":"privacy violations","score":0.4390000104904175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.832748532295227},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6468212604522705},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6288490891456604},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.592609703540802},{"id":"https://openalex.org/C2778922385","wikidata":"https://www.wikidata.org/wiki/Q3475620","display_name":"Identification scheme","level":3,"score":0.5124297738075256},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.506414532661438},{"id":"https://openalex.org/C178005623","wikidata":"https://www.wikidata.org/wiki/Q308859","display_name":"Anonymity","level":2,"score":0.50577712059021},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4400278925895691},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.42986756563186646},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.41819101572036743},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2851983308792114},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10562345385551453},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infcom.2007.145","doi":"https://doi.org/10.1109/infcom.2007.145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2007.145","pdf_url":null,"source":{"id":"https://openalex.org/S7407087743","display_name":"IEEE Conference on Computer Communications (INFOCOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1495958990","https://openalex.org/W1497692447","https://openalex.org/W2008365755","https://openalex.org/W2031157660","https://openalex.org/W2096673269","https://openalex.org/W2099480861","https://openalex.org/W2131491007","https://openalex.org/W2132763479","https://openalex.org/W4229641328"],"related_works":["https://openalex.org/W2027272808","https://openalex.org/W2789974103","https://openalex.org/W3046461990","https://openalex.org/W2150919814","https://openalex.org/W2127668673","https://openalex.org/W2567249086","https://openalex.org/W2493731532","https://openalex.org/W2462050825","https://openalex.org/W1507454156","https://openalex.org/W2121354752"],"abstract_inverted_index":{"The":[0,114,156],"increasing":[1],"use":[2],"of":[3,14,21,50,73,76,80,106,117,125,145,154,168],"RFID":[4,26,51,81],"tags":[5,27],"in":[6,90,109,186],"many":[7,143],"applications":[8],"have":[9],"brought":[10],"forth":[11],"valid":[12],"concerns":[13,24],"privacy":[15,59],"and":[16,94,136],"anonymity":[17],"among":[18],"users.":[19],"One":[20],"the":[22,74,85,92,99,104,107,110,118,130,169,191],"primary":[23],"with":[25],"is":[28,40,120,133,160],"their":[29],"ability":[30],"to":[31,43,57,88,121,152],"track":[32],"an":[33],"individually":[34],"tagged":[35],"entity.":[36],"While":[37],"this":[38,62],"capability":[39],"currently":[41],"thought":[42],"be":[44],"necessary":[45],"for":[46],"supporting":[47],"some":[48],"features":[49],"systems,":[52],"such":[53],"practice":[54],"can":[55,102,137],"lead":[56],"potential":[58],"violations.":[60],"In":[61,97],"paper,":[63],"we":[64],"propose":[65],"a":[66,77,149],"privacy-preserving":[67],"scheme":[68,101,119,132,182],"that":[69,129,167,179],"enables":[70],"anonymous":[71],"estimation":[72],"cardinality":[75],"dynamic":[78,188],"set":[79,86,112,193],"tags,":[82],"while":[83],"allowing":[84],"membership":[87],"vary":[89],"both":[91],"spatial":[93],"temporal":[95],"domains.":[96],"addition,":[98],"proposed":[100,131,181],"identify":[103],"dynamics":[105],"changes":[108],"tag":[111,140,174,192],"population.":[113],"main":[115],"idea":[116],"avoid":[122],"explicit":[123,173],"identification":[124],"tags.":[126,155],"We":[127,176],"demonstrate":[128],"highly":[134,187],"adaptive":[135],"accurately":[138],"estimate":[139],"populations":[141],"across":[142],"orders":[144],"magnitude,":[146],"ranging":[147],"from":[148],"few":[150],"tens":[151],"millions":[153],"associated":[157],"probing":[158],"latency":[159],"also":[161,177],"substantially":[162],"lower":[163],"(les":[164],"10%)":[165],"than":[166],"schemes":[170],"which":[171],"require":[172],"identification.":[175],"show":[178],"our":[180],"performs":[183],"well":[184],"even":[185],"environments,":[189],"where":[190],"keeps":[194],"changing":[195],"rapidly.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":25},{"year":2013,"cited_by_count":20},{"year":2012,"cited_by_count":15}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}
