{"id":"https://openalex.org/W2943828307","doi":"https://doi.org/10.1587/transinf.2018nti0001","title":"AI@ntiPhish \u2014 Machine Learning Mechanisms for Cyber-Phishing Attack","display_name":"AI@ntiPhish \u2014 Machine Learning Mechanisms for Cyber-Phishing Attack","publication_year":2019,"publication_date":"2019-04-30","ids":{"openalex":"https://openalex.org/W2943828307","doi":"https://doi.org/10.1587/transinf.2018nti0001","mag":"2943828307"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2018nti0001","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2018nti0001","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/5/E102.D_2018NTI0001/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/5/E102.D_2018NTI0001/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064232145","display_name":"Y.F. Chen","orcid":"https://orcid.org/0000-0002-3038-4311"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Hung CHEN","raw_affiliation_strings":["National Taiwan University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111862021","display_name":"Jiann-Liang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jiann-Liang CHEN","raw_affiliation_strings":["National Taiwan University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":4.1331,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.94589083,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"E102.D","issue":"5","first_page":"878","last_page":"887"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9884999990463257,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9837999939918518,"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/phishing","display_name":"Phishing","score":0.9332312345504761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8327596783638},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7257832288742065},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6788546442985535},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6398582458496094},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.6331132650375366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6087721586227417},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4190804362297058},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.349265456199646},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.2272336483001709},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16524776816368103}],"concepts":[{"id":"https://openalex.org/C83860907","wikidata":"https://www.wikidata.org/wiki/Q135005","display_name":"Phishing","level":3,"score":0.9332312345504761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8327596783638},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7257832288742065},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6788546442985535},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6398582458496094},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6331132650375366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6087721586227417},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4190804362297058},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.349265456199646},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2272336483001709},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16524776816368103}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2018nti0001","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2018nti0001","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/5/E102.D_2018NTI0001/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2018nti0001","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2018nti0001","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/5/E102.D_2018NTI0001/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2943828307.pdf","grobid_xml":"https://content.openalex.org/works/W2943828307.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1491241508","https://openalex.org/W1989957782","https://openalex.org/W2013177973","https://openalex.org/W2041702849","https://openalex.org/W2043034431","https://openalex.org/W2048700239","https://openalex.org/W2080557752","https://openalex.org/W2084264686","https://openalex.org/W2104933073","https://openalex.org/W2116563254","https://openalex.org/W2148239836","https://openalex.org/W2153635508","https://openalex.org/W2295598076","https://openalex.org/W2524841068","https://openalex.org/W2559033216","https://openalex.org/W2598727995","https://openalex.org/W2598898720","https://openalex.org/W2610833072","https://openalex.org/W2625935159","https://openalex.org/W2745351283","https://openalex.org/W2766196489","https://openalex.org/W2768959524","https://openalex.org/W2770999495","https://openalex.org/W2775185969","https://openalex.org/W2782609208","https://openalex.org/W2782734209","https://openalex.org/W2783037308","https://openalex.org/W2783438813","https://openalex.org/W2783562281","https://openalex.org/W2794609498","https://openalex.org/W2911681169","https://openalex.org/W3099212712","https://openalex.org/W4232478844","https://openalex.org/W4250020282"],"related_works":["https://openalex.org/W4315649538","https://openalex.org/W4382315444","https://openalex.org/W4316657892","https://openalex.org/W4233259193","https://openalex.org/W4224922629","https://openalex.org/W4387977367","https://openalex.org/W2600353413","https://openalex.org/W2141272333","https://openalex.org/W2432727369","https://openalex.org/W4390916549"],"abstract_inverted_index":{"This":[0,149],"study":[1],"proposes":[2],"a":[3],"novel":[4],"machine":[5,126],"learning":[6,10,127,159],"architecture":[7],"and":[8,71,93,106,122,145,169],"various":[9,49],"algorithms":[11,155,186],"to":[12,32,96,117],"build-in":[13],"anti-phishing":[14],"services":[15],"for":[16,51,79,119],"avoiding":[17],"cyber-phishing":[18,30],"attack.":[19],"For":[20],"the":[21,103,108,115,120,153,157,172,179,185],"rapid":[22],"develop":[23],"of":[24,44,124,182],"information":[25,39,94],"technology,":[26],"hackers":[27],"engage":[28],"in":[29,48,188],"attack":[31],"steal":[33],"important":[34],"personal":[35],"information,":[36],"which":[37],"draws":[38],"security":[40],"concerns.":[41],"The":[42],"prevention":[43],"phishing":[45,62,70],"website":[46],"involves":[47],"aspect,":[50],"example,":[52],"user":[53],"training,":[54],"public":[55],"awareness,":[56],"fraudulent":[57,69],"phishing,":[58],"etc.":[59],"However,":[60],"recent":[61],"research":[63,150],"has":[64],"mainly":[65],"focused":[66],"on":[67,73],"preventing":[68],"relied":[72],"manual":[74],"identification":[75],"that":[76],"is":[77],"inefficient":[78],"real-time":[80],"detection":[81],"systems.":[82],"In":[83],"this":[84,189],"study,":[85],"we":[86,100],"used":[87],"methods":[88],"such":[89,129,165],"as":[90,114,130,166],"ANOVA,":[91],"X2,":[92],"gain":[95],"evaluate":[97],"features.":[98],"Then,":[99],"filtered":[101],"out":[102],"unrelated":[104],"features":[105,113,116],"obtained":[107],"top":[109],"28":[110],"most":[111],"related":[112],"use":[118],"training":[121],"evaluation":[123],"traditional":[125],"algorithms,":[128],"Support":[131],"Vector":[132],"Machine":[133],"(SVM)":[134],"with":[135,156],"linear":[136],"or":[137],"rbf":[138],"kernels,":[139],"Logistic":[140],"Regression":[141],"(LR),":[142],"Decision":[143],"tree,":[144],"K-Nearest":[146],"Neighbor":[147],"(KNN).":[148],"also":[151],"evaluated":[152],"above":[154],"ensemble":[158],"concept":[160],"by":[161],"combining":[162],"multiple":[163],"classifiers,":[164],"Adaboost,":[167],"bagging,":[168],"voting.":[170],"Finally,":[171],"eXtreme":[173],"Gradient":[174],"Boosting":[175],"(XGBoost)":[176],"model":[177],"exhibited":[178],"best":[180],"performance":[181],"99.2%,":[183],"among":[184],"considered":[187],"study.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
