{"id":"https://openalex.org/W2779001887","doi":"https://doi.org/10.1109/cns.2017.8228680","title":"Privacy-preserving audience measurement in practice \u2014 Opportunities and challenges","display_name":"Privacy-preserving audience measurement in practice \u2014 Opportunities and challenges","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2779001887","doi":"https://doi.org/10.1109/cns.2017.8228680","mag":"2779001887"},"language":"en","primary_location":{"id":"doi:10.1109/cns.2017.8228680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns.2017.8228680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Conference on Communications and Network Security (CNS)","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/A5084380575","display_name":"Steffen Passmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Steffen Passmann","raw_affiliation_strings":["INFOniine GmbH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INFOniine GmbH","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024554446","display_name":"Anne Lauber-R\u00f6nsberg","orcid":"https://orcid.org/0000-0003-1340-4330"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anne Lauber-Roensberg","raw_affiliation_strings":["TU Dresden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Dresden","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053465128","display_name":"Thorsten Strufe","orcid":"https://orcid.org/0000-0002-8723-9692"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thorsten Strufe","raw_affiliation_strings":["TU Dresden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Dresden","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1384,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46481508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"444","last_page":"449"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scrutiny","display_name":"Scrutiny","score":0.7925211191177368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7248793840408325},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6401276588439941},{"id":"https://openalex.org/keywords/identifiability","display_name":"Identifiability","score":0.623613715171814},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.5314081311225891},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4819723963737488},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.46211177110671997},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40688568353652954},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.34633421897888184},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.13239026069641113},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0900769829750061}],"concepts":[{"id":"https://openalex.org/C2776050585","wikidata":"https://www.wikidata.org/wiki/Q7439360","display_name":"Scrutiny","level":2,"score":0.7925211191177368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7248793840408325},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6401276588439941},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.623613715171814},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.5314081311225891},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4819723963737488},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.46211177110671997},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40688568353652954},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34633421897888184},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.13239026069641113},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0900769829750061},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cns.2017.8228680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns.2017.8228680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Conference on Communications and Network Security (CNS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6399999856948853}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320334088","display_name":"College of Food, Agricultural, and Environmental Sciences, Ohio State University","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W55681943","https://openalex.org/W1795861175","https://openalex.org/W1921245731","https://openalex.org/W1981029888","https://openalex.org/W2013823004","https://openalex.org/W2099259603","https://openalex.org/W2135930857","https://openalex.org/W2189109560","https://openalex.org/W2739788199","https://openalex.org/W2911978475","https://openalex.org/W3102407811","https://openalex.org/W3125518450","https://openalex.org/W6602201320","https://openalex.org/W6638496199","https://openalex.org/W6640184234","https://openalex.org/W6687134312","https://openalex.org/W6758947373"],"related_works":["https://openalex.org/W2584827882","https://openalex.org/W2538581760","https://openalex.org/W3195097297","https://openalex.org/W4225340788","https://openalex.org/W3038106605","https://openalex.org/W2513267613","https://openalex.org/W3049084372","https://openalex.org/W2528109871","https://openalex.org/W2940702331","https://openalex.org/W2905822832"],"abstract_inverted_index":{"The":[0],"current":[1],"practices":[2],"of":[3,37,60],"Web":[4],"analytics":[5],"and":[6,13,16,19,85,111],"independent":[7,54],"audience":[8,49],"measurement":[9,50,80],"are":[10,23],"under":[11,30,67],"legal":[12],"societal":[14],"scrutiny,":[15],"the":[17,31,38,58,68,75,79,83,114],"implemented":[18],"currently":[20],"suggested":[21],"approaches":[22],"either":[24],"impractical,":[25],"or":[26],"most":[27],"likely":[28],"illegal":[29],"upcoming":[32],"General":[33],"Data":[34],"Protection":[35],"Regulations":[36],"European":[39],"Union.":[40],"While":[41],"local":[42],"solutions":[43],"may":[44],"achieve":[45],"compliance":[46],"for":[47,57,95],"analytics,":[48],"inherently":[51],"requires":[52],"an":[53],"third":[55],"party":[56],"verification":[59,107],"claimed":[61],"audiences":[62],"-":[63],"a":[64],"special":[65],"challenge":[66],"GDPR.":[69],"We":[70],"hence":[71,104],"suggest":[72],"to":[73,82,86],"move":[74],"data":[76],"processing":[77],"from":[78],"provider":[81],"browser":[84],"submit":[87],"only":[88],"unidentified":[89],"aggregates,":[90],"possibly":[91],"over":[92],"anonymization":[93],"services,":[94],"mere":[96],"counting.":[97],"Our":[98],"solution,":[99],"though":[100],"work":[101],"in":[102],"progress,":[103],"achieves":[105],"reliable":[106],"but":[108],"prevents":[109],"identifiability,":[110],"thus":[112],"ensures":[113],"users'":[115],"privacy.":[116]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
