{"id":"https://openalex.org/W2048700239","doi":"https://doi.org/10.1109/isi.2012.6284100","title":"Phishing website detection using Latent Dirichlet Allocation and AdaBoost","display_name":"Phishing website detection using Latent Dirichlet Allocation and AdaBoost","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2048700239","doi":"https://doi.org/10.1109/isi.2012.6284100","mag":"2048700239"},"language":"en","primary_location":{"id":"doi:10.1109/isi.2012.6284100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2012.6284100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Intelligence and Security Informatics","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/A5075283278","display_name":"Venkatesh Ramanathan","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Venkatesh Ramanathan","raw_affiliation_strings":["Department of Computer Science, George Mason University, Fairfax, VA, USA","Department of Computer Science, George Mason University, Fairfax, Virginia 22030 USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, Virginia 22030 USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058156010","display_name":"Harry Wechsler","orcid":"https://orcid.org/0000-0002-5454-8819"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harry Wechsler","raw_affiliation_strings":["Department of Computer Science, George Mason University, Fairfax, VA, USA","Department of Computer Science, George Mason University, Fairfax, Virginia 22030 USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, Virginia 22030 USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075283278"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":5.1961,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.95330119,"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":"102","last_page":"107"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9980000257492065,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/phishing","display_name":"Phishing","score":0.9235830307006836},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.8508633375167847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7838902473449707},{"id":"https://openalex.org/keywords/login","display_name":"Login","score":0.6750125288963318},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5401055216789246},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5237493515014648},{"id":"https://openalex.org/keywords/web-crawler","display_name":"Web crawler","score":0.505425214767456},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4808933734893799},{"id":"https://openalex.org/keywords/commit","display_name":"Commit","score":0.4316466450691223},{"id":"https://openalex.org/keywords/blacklist","display_name":"Blacklist","score":0.4203988313674927},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.3736579418182373},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.36287882924079895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.356271892786026},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12604355812072754}],"concepts":[{"id":"https://openalex.org/C83860907","wikidata":"https://www.wikidata.org/wiki/Q135005","display_name":"Phishing","level":3,"score":0.9235830307006836},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.8508633375167847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7838902473449707},{"id":"https://openalex.org/C113324615","wikidata":"https://www.wikidata.org/wiki/Q472302","display_name":"Login","level":2,"score":0.6750125288963318},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5401055216789246},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5237493515014648},{"id":"https://openalex.org/C13743948","wikidata":"https://www.wikidata.org/wiki/Q45842","display_name":"Web crawler","level":2,"score":0.505425214767456},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4808933734893799},{"id":"https://openalex.org/C153180980","wikidata":"https://www.wikidata.org/wiki/Q19776675","display_name":"Commit","level":2,"score":0.4316466450691223},{"id":"https://openalex.org/C2781345505","wikidata":"https://www.wikidata.org/wiki/Q2535979","display_name":"Blacklist","level":2,"score":0.4203988313674927},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.3736579418182373},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.36287882924079895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.356271892786026},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12604355812072754}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isi.2012.6284100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2012.6284100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Intelligence and Security Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1481507845","https://openalex.org/W1670263352","https://openalex.org/W1880262756","https://openalex.org/W1912123407","https://openalex.org/W1973249990","https://openalex.org/W1979711143","https://openalex.org/W1990188874","https://openalex.org/W2001082470","https://openalex.org/W2098081183","https://openalex.org/W2104924585","https://openalex.org/W2125055259","https://openalex.org/W2145073242","https://openalex.org/W2149202530","https://openalex.org/W2155617545","https://openalex.org/W2156909104","https://openalex.org/W2158063174","https://openalex.org/W2911964244","https://openalex.org/W2952148308","https://openalex.org/W4233135949","https://openalex.org/W4237791300","https://openalex.org/W4251512373","https://openalex.org/W6640114639","https://openalex.org/W6675861922","https://openalex.org/W6681651645"],"related_works":["https://openalex.org/W2794575345","https://openalex.org/W2334141798","https://openalex.org/W4375830807","https://openalex.org/W3200671490","https://openalex.org/W3046058513","https://openalex.org/W4313492216","https://openalex.org/W4387790435","https://openalex.org/W2888805565","https://openalex.org/W2183312460","https://openalex.org/W4312773271"],"abstract_inverted_index":{"One":[0],"of":[1,107,144,179,184,203],"the":[2,8,141,160,180],"ways":[3],"criminals":[4],"steal":[5],"identity":[6],"in":[7,126],"cyberspace":[9],"is":[10,92,98,138,153],"using":[11,132,140,155,165,177],"phishing.":[12],"Attackers":[13,36],"host":[14],"phishing":[15,71,150,189],"websites":[16,72,190],"that":[17,73,97,123,197],"resemble":[18],"a":[19,66,78,93,201],"legitimate":[20],"website":[21,105,121,151,185],"and":[22,49,85,101,109,146,169,191],"entice":[23],"users":[24],"to":[25,32,41,60,69,130],"click":[26],"on":[27],"hyperlinks":[28],"which":[29,56],"directs":[30],"them":[31],"these":[33,38],"fake":[34,39],"websites.":[35,194],"use":[37,59],"sites":[40],"capture":[42],"personal":[43],"information":[44],"such":[45],"as":[46,163],"login,":[47],"passwords":[48],"social":[50],"security":[51],"numbers":[52],"from":[53],"innocent":[54],"victims,":[55],"they":[57],"later":[58],"commit":[61],"crimes.":[62],"We":[63],"propose":[64],"here":[65],"robust":[67],"methodology":[68,90],"detect":[70],"employs":[74],"for":[75,86,159],"semantic":[76],"analysis":[77],"topic":[79],"modeling":[80],"technique,":[81],"Latent":[82,166],"Dirichlet":[83,167],"Allocation,":[84],"classification,":[87],"AdaBoost.":[88],"The":[89,104,120,149],"developed":[91],"content":[94,106],"driven":[95],"approach":[96],"device":[99],"independent":[100],"language":[102,134],"neutral.":[103],"mobile":[108,147],"desktop":[110,145],"clients":[111],"are":[112,124,128],"collected":[113],"by":[114],"employing":[115],"an":[116],"intelligent":[117],"web":[118],"crawler.":[119],"contents":[122,143],"not":[125],"English":[127,131],"translated":[129,142],"Google's":[133],"translator.":[135],"Topic":[136],"model":[137],"built":[139,154],"clients.":[148],"classifier":[152],"(i)":[156],"distribution":[157],"probabilities":[158],"topics":[161],"found":[162],"features":[164],"Allocation":[168],"(ii)":[170],"AdaBoost":[171],"voting":[172],"technique.":[173],"Experiments":[174],"were":[175],"conducted":[176],"one":[178],"large":[181],"public":[182],"corpus":[183],"data":[186],"containing":[187],"47500":[188],"52500":[192],"good":[193],"Results":[195],"show":[196],"our":[198],"method":[199],"achieves":[200],"F-measure":[202],"99%.":[204]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
