{"id":"https://openalex.org/W2109056062","doi":"https://doi.org/10.1145/2660267.2687258","title":"Your Online Interests","display_name":"Your Online Interests","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W2109056062","doi":"https://doi.org/10.1145/2660267.2687258","mag":"2109056062"},"language":"en","primary_location":{"id":"doi:10.1145/2660267.2687258","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2660267.2687258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security","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/A5101960529","display_name":"Wei Meng","orcid":"https://orcid.org/0000-0001-8260-3304"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wei Meng","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041094652","display_name":"Xinyu Xing","orcid":"https://orcid.org/0000-0001-6733-226X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyu Xing","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111515855","display_name":"Anmol Sheth","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158888","display_name":"Technicolor (United States)","ror":"https://ror.org/05ha8e826","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121266","https://openalex.org/I4210158888"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anmol Sheth","raw_affiliation_strings":["Technicolor, Los Altos, CA, USA"],"affiliations":[{"raw_affiliation_string":"Technicolor, Los Altos, CA, USA","institution_ids":["https://openalex.org/I4210158888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032702972","display_name":"Udi Weinsberg","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158888","display_name":"Technicolor (United States)","ror":"https://ror.org/05ha8e826","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121266","https://openalex.org/I4210158888"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Udi Weinsberg","raw_affiliation_strings":["Technicolor, Los Altos, CA, USA"],"affiliations":[{"raw_affiliation_string":"Technicolor, Los Altos, CA, USA","institution_ids":["https://openalex.org/I4210158888"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047140382","display_name":"Wenke Lee","orcid":"https://orcid.org/0000-0003-2761-1277"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenke Lee","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101960529"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":4.7335,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.95082636,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"129","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11644","display_name":"Spam and Phishing Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9986000061035156,"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/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/revenue","display_name":"Revenue","score":0.713956356048584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5978789329528809},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5024442672729492},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.49101901054382324},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.4854715168476105},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4781128764152527},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.46294912695884705},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.45401066541671753},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.42255955934524536},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3323262929916382},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.2272108495235443},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.08361196517944336}],"concepts":[{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.713956356048584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5978789329528809},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5024442672729492},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.49101901054382324},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.4854715168476105},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4781128764152527},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.46294912695884705},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.45401066541671753},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.42255955934524536},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3323262929916382},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2272108495235443},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.08361196517944336},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2660267.2687258","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2660267.2687258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306110","display_name":"U.S. Department of Homeland Security","ror":"https://ror.org/00jyr0d86"},{"id":"https://openalex.org/F4320332467","display_name":"U.S. Air Force","ror":"https://ror.org/006gmme17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W33808135","https://openalex.org/W1222699389","https://openalex.org/W1538449501","https://openalex.org/W1774682829","https://openalex.org/W1835342030","https://openalex.org/W1970867218","https://openalex.org/W1987210879","https://openalex.org/W2013269776","https://openalex.org/W2030203303","https://openalex.org/W2072978486","https://openalex.org/W2095450067","https://openalex.org/W2096697338","https://openalex.org/W2099474262","https://openalex.org/W2099937944","https://openalex.org/W2100074487","https://openalex.org/W2127935984","https://openalex.org/W2155841152","https://openalex.org/W2157579260","https://openalex.org/W2159764755","https://openalex.org/W2165613200","https://openalex.org/W2746937343","https://openalex.org/W3011869339","https://openalex.org/W3122022408","https://openalex.org/W3124766564"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3150755883","https://openalex.org/W2606073172","https://openalex.org/W2346030802","https://openalex.org/W2083944315","https://openalex.org/W2569429894","https://openalex.org/W135751641","https://openalex.org/W2969549431","https://openalex.org/W2126179901","https://openalex.org/W2811068200"],"abstract_inverted_index":{"We":[0,62,86],"present":[1],"a":[2],"new":[3],"ad":[4,13,18,59,78,95,145],"fraud":[5],"mechanism":[6],"that":[7,55,120],"enables":[8],"publishers":[9,181],"to":[10,22,46,138,157],"increase":[11,177],"their":[12],"revenue":[14,178],"by":[15,43,51,106,182],"deceiving":[16],"the":[17,30,52,58,70,73,88,93,100,104,108,121,129,133,143,167,174],"exchange":[19],"and":[20,83,97,140,149,161,171],"advertisers":[21],"target":[23],"higher":[24],"paying":[25],"ads":[26,127],"at":[27],"users":[28],"visiting":[29],"publisher's":[31],"site.":[32],"Our":[33,117],"attack":[34,71,89,109,122,154,168,175],"is":[35,123,155,169],"based":[36],"on":[37,172],"polluting":[38],"users'":[39],"online":[40,162],"interest":[41],"profile":[42],"issuing":[44],"requests":[45],"content":[47],"not":[48],"explicitly":[49],"requested":[50],"user,":[53],"such":[54],"it":[56],"influences":[57],"selection":[60],"process.":[61],"address":[63],"several":[64],"challenges":[65],"involved":[66],"in":[67,125],"setting":[68],"up":[69,137],"for":[72,90,147],"two":[74],"most":[75],"commonly":[76],"used":[77],"targeting":[79],"mechanisms":[80],"--":[81],"re-marketing":[82,148],"behavioral":[84,150],"targeting.":[85],"validate":[87],"one":[91],"of":[92,103,113,142,164,179],"largest":[94],"exchanges":[96],"empirically":[98],"measure":[99],"monetary":[101],"gains":[102],"publisher":[105],"emulating":[107],"using":[110],"web":[111],"traces":[112],"619":[114],"real":[115],"users.":[116,165],"results":[118],"show":[119],"effective":[124],"biasing":[126],"towards":[128],"desired":[130],"higher-paying":[131],"advertisers;":[132],"polluter":[134],"can":[135,176],"influence":[136],"74%":[139],"12%":[141],"total":[144],"impressions":[146],"pollution,":[151],"respectively.":[152],"The":[153],"robust":[156],"diverse":[158],"browsing":[159],"patterns":[160],"interests":[163],"Finally,":[166],"lucrative":[170],"average":[173],"fraudlent":[180],"as":[183,185],"much":[184],"33%.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}