{"id":"https://openalex.org/W3007449304","doi":"https://doi.org/10.1109/bigdata47090.2019.9006352","title":"Detection of Phishing websites using Generative Adversarial Network","display_name":"Detection of Phishing websites using Generative Adversarial Network","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007449304","doi":"https://doi.org/10.1109/bigdata47090.2019.9006352","mag":"3007449304"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://mpra.ub.uni-muenchen.de/8528/1/MPRA_paper_8528.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052845973","display_name":"Robic-Butez Pierrick","orcid":null},"institutions":[{"id":"https://openalex.org/I114203471","display_name":"University of Gloucestershire","ror":"https://ror.org/00wygct11","country_code":"GB","type":"education","lineage":["https://openalex.org/I114203471"]},{"id":"https://openalex.org/I4210143826","display_name":"Institut National des Sciences Appliqu\u00e9es Centre Val de Loire","ror":"https://ror.org/03y0qc033","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210143826"]}],"countries":["FR","GB"],"is_corresponding":true,"raw_author_name":"Pierrick Robic-Butez","raw_affiliation_strings":["Department of Computer Science, University of Gloucestershire & INSA CVL, Cheltenham, United Kingdom & Bourges, France"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Gloucestershire & INSA CVL, Cheltenham, United Kingdom & Bourges, France","institution_ids":["https://openalex.org/I114203471","https://openalex.org/I4210143826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039260769","display_name":"Thu Yein Win","orcid":"https://orcid.org/0000-0002-4977-0511"},"institutions":[{"id":"https://openalex.org/I114203471","display_name":"University of Gloucestershire","ror":"https://ror.org/00wygct11","country_code":"GB","type":"education","lineage":["https://openalex.org/I114203471"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Thu Yein Win","raw_affiliation_strings":["School of Business & Technology, University of Gloucestershire, Cheltenham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Business & Technology, University of Gloucestershire, Cheltenham, United Kingdom","institution_ids":["https://openalex.org/I114203471"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052845973"],"corresponding_institution_ids":["https://openalex.org/I114203471","https://openalex.org/I4210143826"],"apc_list":null,"apc_paid":null,"fwci":2.1139,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.90819503,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3216","last_page":"3221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9995999932289124,"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":0.9995999932289124,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9973000288009644,"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/phishing","display_name":"Phishing","score":0.9709701538085938},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.8406059741973877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7883906960487366},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6349291205406189},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6217266321182251},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.6131365299224854},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.42618703842163086},{"id":"https://openalex.org/keywords/hacker","display_name":"Hacker","score":0.42089152336120605},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4030718207359314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35492223501205444},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3475955128669739},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.33185499906539917},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3113522529602051},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.25822314620018005}],"concepts":[{"id":"https://openalex.org/C83860907","wikidata":"https://www.wikidata.org/wiki/Q135005","display_name":"Phishing","level":3,"score":0.9709701538085938},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8406059741973877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7883906960487366},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6349291205406189},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6217266321182251},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.6131365299224854},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.42618703842163086},{"id":"https://openalex.org/C86844869","wikidata":"https://www.wikidata.org/wiki/Q2798820","display_name":"Hacker","level":2,"score":0.42089152336120605},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4030718207359314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35492223501205444},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3475955128669739},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.33185499906539917},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3113522529602051},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.25822314620018005},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai::8528","is_oa":true,"landing_page_url":null,"pdf_url":"https://mpra.ub.uni-muenchen.de/8528/1/MPRA_paper_8528.pdf","source":{"id":"https://openalex.org/S4306400522","display_name":"Research Repository (University of Gloucestershire)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114203471","host_organization_name":"University of Gloucestershire","host_organization_lineage":["https://openalex.org/I114203471"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:eprints.glos.ac.uk:8528","is_oa":true,"landing_page_url":"https://orcid.org/0000-0002-4977-0511","pdf_url":"https://eprints.glos.ac.uk/8528/1/8528%20Robic%E2%80%93Butez%2C%20Win%20%282019%29%20Detection-of-Phishing-websites-using-Generative-Adversarial-Network.pdf","source":{"id":"https://openalex.org/S4306400522","display_name":"Research Repository (University of Gloucestershire)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114203471","host_organization_name":"University of Gloucestershire","host_organization_lineage":["https://openalex.org/I114203471"],"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":"PeerReviewed"}],"best_oa_location":{"id":"pmh:oai::8528","is_oa":true,"landing_page_url":null,"pdf_url":"https://mpra.ub.uni-muenchen.de/8528/1/MPRA_paper_8528.pdf","source":{"id":"https://openalex.org/S4306400522","display_name":"Research Repository (University of Gloucestershire)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114203471","host_organization_name":"University of Gloucestershire","host_organization_lineage":["https://openalex.org/I114203471"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3007449304.pdf","grobid_xml":"https://content.openalex.org/works/W3007449304.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1930835045","https://openalex.org/W2093331366","https://openalex.org/W2099471712","https://openalex.org/W2889547652","https://openalex.org/W2897256107","https://openalex.org/W2965149200","https://openalex.org/W4320013936","https://openalex.org/W6640284647","https://openalex.org/W6754281715"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W4380714744","https://openalex.org/W2387995142","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W2921504876","https://openalex.org/W2964074194","https://openalex.org/W2995777218"],"abstract_inverted_index":{"Phishing":[0],"is":[1,113,121],"typically":[2],"deployed":[3],"as":[4,76,78],"an":[5],"attack":[6],"vector":[7],"in":[8,35],"the":[9,56,65,92,107],"initial":[10],"stages":[11],"of":[12,44,62,128],"a":[13,25,33,41,49,63,69,84,125],"hacking":[14],"endeavour.":[15],"Due":[16],"to":[17,82,123,130],"it":[18,22,30],"low-risk":[19],"rightreward":[20],"nature":[21],"has":[23,31],"seen":[24],"widespread":[26],"adoption,":[27],"and":[28,59,120],"detecting":[29,45],"become":[32],"challenge":[34],"recent":[36],"times.":[37],"This":[38],"paper":[39],"proposes":[40],"novel":[42],"means":[43],"phishing":[46,80,98,118],"websites":[47],"using":[48,115],"Generative":[50],"Adversarial":[51],"Network.":[52],"Taking":[53],"into":[54],"account":[55],"internal":[57],"structure":[58],"external":[60],"metadata":[61],"website,":[64],"proposed":[66,111],"approach":[67,112],"uses":[68],"generator":[70],"network":[71],"which":[72],"generates":[73],"both":[74],"legitimate":[75],"well":[77],"synthetic":[79],"features":[81,93],"train":[83],"discriminator":[85],"network.":[86],"The":[87,110],"latter":[88],"then":[89],"determines":[90],"if":[91],"are":[94],"either":[95],"normal":[96],"or":[97],"websites,":[99],"before":[100],"improving":[101],"its":[102],"detection":[103,126],"accuracy":[104,127],"based":[105],"on":[106],"classification":[108],"error.":[109],"evaluated":[114],"two":[116],"different":[117],"datasets":[119],"found":[122],"achieve":[124],"up":[129],"94%.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}