{"id":"https://openalex.org/W3105156599","doi":"https://doi.org/10.1109/lcn48667.2020.9314828","title":"Triplet Mining-based Phishing Webpage Detection","display_name":"Triplet Mining-based Phishing Webpage Detection","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3105156599","doi":"https://doi.org/10.1109/lcn48667.2020.9314828","mag":"3105156599"},"language":"en","primary_location":{"id":"doi:10.1109/lcn48667.2020.9314828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcn48667.2020.9314828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 45th Conference on Local Computer Networks (LCN)","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/A5046984488","display_name":"Kalana Abeywardena","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I195740183","display_name":"University of Moratuwa","ror":"https://ror.org/0491f5305","country_code":"LK","type":"education","lineage":["https://openalex.org/I195740183"]}],"countries":["AU","LK"],"is_corresponding":false,"raw_author_name":"Kalana Abeywardena","raw_affiliation_strings":["University of Moratuwa, Sri Lanka","University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Moratuwa, Sri Lanka","institution_ids":["https://openalex.org/I195740183"]},{"raw_affiliation_string":"University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047144509","display_name":"Jiawei Zhao","orcid":"https://orcid.org/0000-0002-5726-6040"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jiawei Zhao","raw_affiliation_strings":["University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014234359","display_name":"Lexi Brent","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lexi Brent","raw_affiliation_strings":["University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038376039","display_name":"Suranga Seneviratne","orcid":"https://orcid.org/0000-0002-5485-5595"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Suranga Seneviratne","raw_affiliation_strings":["University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005480813","display_name":"Ralph Holz","orcid":"https://orcid.org/0000-0001-9614-2377"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["AU","NL"],"is_corresponding":false,"raw_author_name":"Ralph Holz","raw_affiliation_strings":["University of Sydney, Australia","University of Twente, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"University of Twente, Netherlands","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"abs 1904 4370","issue":null,"first_page":"377","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.992900013923645,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9607999920845032,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/phishing","display_name":"Phishing","score":0.9558937549591064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8110716342926025},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.7212225198745728},{"id":"https://openalex.org/keywords/obfuscation","display_name":"Obfuscation","score":0.5675038695335388},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5360342264175415},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48850739002227783},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4615355432033539},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4346928298473358},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.31891071796417236},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.29914939403533936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.292250394821167},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14343923330307007}],"concepts":[{"id":"https://openalex.org/C83860907","wikidata":"https://www.wikidata.org/wiki/Q135005","display_name":"Phishing","level":3,"score":0.9558937549591064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8110716342926025},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.7212225198745728},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.5675038695335388},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5360342264175415},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48850739002227783},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4615355432033539},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4346928298473358},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.31891071796417236},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29914939403533936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.292250394821167},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14343923330307007}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lcn48667.2020.9314828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcn48667.2020.9314828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 45th Conference on Local Computer Networks (LCN)","raw_type":"proceedings-article"},{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/36071c8f-c4a5-4d57-a30d-efe1e1871da9","is_oa":false,"landing_page_url":"https://research.utwente.nl/en/publications/36071c8f-c4a5-4d57-a30d-efe1e1871da9","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abeywardena, K, Zhao, J, Brent, L, Seneviratne, S & Holz, R-G 2020, Triplet Mining-based Phishing Webpage Detection. in Local Computer Networks. IEEE, Sydney, Australia.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W204268067","https://openalex.org/W289595871","https://openalex.org/W1922773808","https://openalex.org/W1985920648","https://openalex.org/W2043034431","https://openalex.org/W2051508710","https://openalex.org/W2142995284","https://openalex.org/W2160353917","https://openalex.org/W2166731089","https://openalex.org/W2565639579","https://openalex.org/W2598634450","https://openalex.org/W2963775347","https://openalex.org/W2972049485","https://openalex.org/W3024272706","https://openalex.org/W3099206234","https://openalex.org/W6684212199","https://openalex.org/W6735531217","https://openalex.org/W6761233789","https://openalex.org/W6767994333","https://openalex.org/W6785269020"],"related_works":["https://openalex.org/W4224216661","https://openalex.org/W2132360941","https://openalex.org/W2149202530","https://openalex.org/W2807822918","https://openalex.org/W3210347767","https://openalex.org/W2921723332","https://openalex.org/W2482950156","https://openalex.org/W4396966040","https://openalex.org/W2305322260","https://openalex.org/W3139248031"],"abstract_inverted_index":{"Phishing":[0],"web":[1,101,107,112],"pages":[2,108],"impersonate":[3],"legitimate":[4],"websites":[5,52],"to":[6,31,44,58,73,92,121],"trick":[7],"users":[8],"into":[9],"entering":[10],"sensitive":[11],"information":[12],"such":[13,40],"as":[14,41],"their":[15],"credentials.":[16],"In":[17,79],"many":[18],"high":[19,55],"profile":[20],"data":[21],"breaches,":[22],"the":[23,59,94,104,110],"initial":[24],"entry":[25],"points":[26],"have":[27],"been":[28],"traced":[29],"back":[30],"phishing":[32,47,51,76,128],"attacks.":[33],"Attackers":[34],"are":[35,114],"using":[36],"increasingly":[37],"sophisticated":[38],"methods":[39],"code":[42],"obfuscation":[43],"bypass":[45],"existing":[46],"detection":[48,77],"systems.":[49,78],"Since":[50],"show":[53],"very":[54],"visual":[56],"similarity":[57,96,99],"respective":[60],"target":[61],"pages,":[62],"recent":[63],"advances":[64],"in":[65],"Convolutional":[66],"Neural":[67],"Networks":[68],"(CNN)":[69],"can":[70],"be":[71],"leveraged":[72],"build":[74],"better":[75],"this":[80],"work,":[81],"we":[82,117],"propose":[83],"a":[84],"novel":[85],"CNN":[86],"architecture":[87],"consisting":[88],"of":[89,109],"two":[90],"paths":[91],"capture":[93],"content":[95],"and":[97],"structural":[98],"between":[100],"pages.":[102],"Leveraging":[103],"fact":[105],"that":[106],"same":[111],"site":[113],"visually":[115],"similar,":[116],"use":[118],"triplet":[119],"learning":[120],"train":[122],"our":[123],"model":[124],"without":[125],"any":[126],"labelled":[127],"examples.":[129]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}