{"id":"https://openalex.org/W3160452730","doi":"https://doi.org/10.1145/3447535.3462549","title":"Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain Graph","display_name":"Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain Graph","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3160452730","doi":"https://doi.org/10.1145/3447535.3462549","mag":"3160452730"},"language":"en","primary_location":{"id":"doi:10.1145/3447535.3462549","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447535.3462549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th ACM Web Science Conference 2021","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.14826","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Amir Hossein Kargaran","orcid":null},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Amir Hossein Kargaran","raw_affiliation_strings":["Isfahan University of Technology, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Isfahan University of Technology, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mohammad Sadegh Akhondzadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Sadegh Akhondzadeh","raw_affiliation_strings":["Isfahan University of Technology, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Isfahan University of Technology, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mohammad Reza Heidarpour","orcid":null},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Reza Heidarpour","raw_affiliation_strings":["Isfahan University of Technology, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Isfahan University of Technology, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mohammad Hossein Manshaei","orcid":null},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Hossein Manshaei","raw_affiliation_strings":["Isfahan University of Technology, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Isfahan University of Technology, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kave Salamatian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kave Salamatian","raw_affiliation_strings":["Savoy Mont Blanc University, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Savoy Mont Blanc University, France","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Masoud Nejad Sattary","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136738","display_name":"Iranian Center for Quantum Technologies","ror":"https://ror.org/03p4ncr63","country_code":"IR","type":"facility","lineage":["https://openalex.org/I4210136738"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Masoud Nejad Sattary","raw_affiliation_strings":["Chavoosh ICT, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chavoosh ICT, Iran","institution_ids":["https://openalex.org/I4210136738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8535,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78460869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"253","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9987999796867371,"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":0.9987999796867371,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.694599986076355},{"id":"https://openalex.org/keywords/obfuscation","display_name":"Obfuscation","score":0.6238999962806702},{"id":"https://openalex.org/keywords/blocking","display_name":"Blocking (statistics)","score":0.5975000262260437},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5311999917030334},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4993000030517578},{"id":"https://openalex.org/keywords/bloom-filter","display_name":"Bloom filter","score":0.4810999929904938},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4440000057220459},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.40860000252723694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8068000078201294},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.694599986076355},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.6238999962806702},{"id":"https://openalex.org/C144745244","wikidata":"https://www.wikidata.org/wiki/Q4927286","display_name":"Blocking (statistics)","level":2,"score":0.5975000262260437},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5311999917030334},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4993000030517578},{"id":"https://openalex.org/C147224247","wikidata":"https://www.wikidata.org/wiki/Q885373","display_name":"Bloom filter","level":2,"score":0.4810999929904938},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4440000057220459},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.40860000252723694},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3806000053882599},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3668000102043152},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.36570000648498535},{"id":"https://openalex.org/C2781251061","wikidata":"https://www.wikidata.org/wiki/Q5416089","display_name":"Evasion (ethics)","level":3,"score":0.3517000079154968},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3370000123977661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33640000224113464},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C2985371682","wikidata":"https://www.wikidata.org/wiki/Q11135","display_name":"Ip address","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.25760000944137573},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25369998812675476}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3447535.3462549","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447535.3462549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th ACM Web Science Conference 2021","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.14826","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.14826","pdf_url":"https://arxiv.org/pdf/2004.14826","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-03719097v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03719097","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WebSci '21: WebSci '21 13th ACM Web Science Conference 2021, Aug 2021, Virtual Event United Kingdom, United Kingdom. pp.253-261, &#x27E8;10.1145/3447535.3462549&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.14826","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.14826","pdf_url":"https://arxiv.org/pdf/2004.14826","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1985683032","https://openalex.org/W1992470436","https://openalex.org/W2000137535","https://openalex.org/W2001325956","https://openalex.org/W2026054276","https://openalex.org/W2075344129","https://openalex.org/W2087226458","https://openalex.org/W2159389932","https://openalex.org/W2201484187","https://openalex.org/W2330339742","https://openalex.org/W2341516340","https://openalex.org/W2417730926","https://openalex.org/W2520877058","https://openalex.org/W2535603283","https://openalex.org/W2562362575","https://openalex.org/W2614031407","https://openalex.org/W2733005124","https://openalex.org/W2753482580","https://openalex.org/W2766598939","https://openalex.org/W2771031712","https://openalex.org/W2889145385","https://openalex.org/W2902572700","https://openalex.org/W2955549094","https://openalex.org/W2963646714","https://openalex.org/W2963779160","https://openalex.org/W2981241721","https://openalex.org/W2987547013","https://openalex.org/W3007992377","https://openalex.org/W3015975623","https://openalex.org/W3140911083"],"related_works":[],"abstract_inverted_index":{"Websites":[0],"use":[1,127],"third-party":[2,192],"ads":[3,10,108,164],"and":[4,11,26,95,109,143,151,157,165,194],"tracking":[5,110,166,193],"services":[6,20,35],"to":[7,61,97,147],"deliver":[8],"targeted":[9],"collect":[12],"information":[13,117],"about":[14],"users":[15],"that":[16,27,126],"visit":[17],"them.":[18],"These":[19],"put":[21],"users\u2019":[22,30],"privacy":[23],"at":[24],"risk,":[25],"is":[28,36,120],"why":[29],"demand":[31],"for":[32],"blocking":[33,41],"these":[34,66],"growing.":[37],"Most":[38],"of":[39,54,65,86,90,106,191],"the":[40,63,104,131,139,180,189],"solutions":[42],"rely":[43],"on":[44,188],"crowd-sourced":[45,175],"filter":[46,67,177],"lists":[47,68],"manually":[48],"maintained":[49],"by":[50,69,173],"a":[51,74,83,99],"large":[52,84],"community":[53],"users.":[55],"In":[56],"this":[57,91,184],"work,":[58],"we":[59],"seek":[60],"simplify":[62],"update":[64],"combining":[70],"different":[71,116],"websites":[72,142],"through":[73],"large-scale":[75],"graph":[76,92],"connecting":[77],"all":[78],"resource":[79],"requests":[80],"made":[81],"over":[82,138],"set":[85],"sites.":[87],"The":[88],"features":[89],"are":[93],"extracted":[94],"used":[96],"train":[98],"machine":[100],"learning":[101],"algorithm":[102],"with":[103,154],"aim":[105],"detecting":[107],"resources.":[111],"As":[112],"our":[113,136],"approach":[114,181],"combines":[115],"sources,":[118],"it":[119],"more":[121],"robust":[122],"toward":[123],"evasion":[124],"techniques":[125],"obfuscation":[128],"or":[129],"changing":[130],"usage":[132],"patterns.":[133],"We":[134],"evaluate":[135],"work":[137],"Alexa":[140],"top-10K":[141],"find":[144],"its":[145],"accuracy":[146],"be":[148],"96.1%":[149],"biased":[150],"90.9%":[152],"unbiased":[153],"high":[155],"precision":[156],"recall.":[158],"It":[159],"can":[160],"also":[161],"block":[162],"new":[163],"services,":[167],"which":[168],"would":[169],"necessitate":[170],"being":[171],"blocked":[172],"further":[174],"existing":[176],"lists.":[178],"Moreover,":[179],"followed":[182],"in":[183],"paper":[185],"sheds":[186],"light":[187],"ecosystem":[190],"advertising.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2021-05-24T00:00:00"}
