{"id":"https://openalex.org/W3158576866","doi":"https://doi.org/10.1109/ciss50987.2021.9400317","title":"Bayesian Optimization and Gradient Boosting to Detect Phishing Websites","display_name":"Bayesian Optimization and Gradient Boosting to Detect Phishing Websites","publication_year":2021,"publication_date":"2021-03-24","ids":{"openalex":"https://openalex.org/W3158576866","doi":"https://doi.org/10.1109/ciss50987.2021.9400317","mag":"3158576866"},"language":"en","primary_location":{"id":"doi:10.1109/ciss50987.2021.9400317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss50987.2021.9400317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 55th Annual Conference on Information Sciences and Systems (CISS)","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/A5058871268","display_name":"Rakesh Pavan","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rakesh Pavan","raw_affiliation_strings":["National Institute of Technology, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Karnataka, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034842686","display_name":"Madhumitha Nara","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Madhumitha Nara","raw_affiliation_strings":["National Institute of Technology, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Karnataka, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043581670","display_name":"Suhas Gopinath","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suhas Gopinath","raw_affiliation_strings":["National Institute of Technology, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Karnataka, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040815462","display_name":"Nagamma Patil","orcid":"https://orcid.org/0000-0001-9924-9559"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nagamma Patil","raw_affiliation_strings":["National Institute of Technology, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Karnataka, India","institution_ids":["https://openalex.org/I11880225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I11880225"],"apc_list":null,"apc_paid":null,"fwci":1.7897,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85847069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9962000250816345,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9950000047683716,"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/boosting","display_name":"Boosting (machine learning)","score":0.7381766438484192},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7305949926376343},{"id":"https://openalex.org/keywords/phishing","display_name":"Phishing","score":0.6736660599708557},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6480225324630737},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.6409084796905518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6055434942245483},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.5615853667259216},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5029014945030212},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4344474673271179},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4160957932472229},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.41539207100868225},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.30739355087280273},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1555408537387848},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.14728906750679016}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7381766438484192},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7305949926376343},{"id":"https://openalex.org/C83860907","wikidata":"https://www.wikidata.org/wiki/Q135005","display_name":"Phishing","level":3,"score":0.6736660599708557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6480225324630737},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.6409084796905518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6055434942245483},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.5615853667259216},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5029014945030212},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4344474673271179},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4160957932472229},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.41539207100868225},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.30739355087280273},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1555408537387848},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.14728906750679016},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss50987.2021.9400317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss50987.2021.9400317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 55th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2029470356","https://openalex.org/W2037021247","https://openalex.org/W2106411961","https://openalex.org/W2295598076","https://openalex.org/W2563718107","https://openalex.org/W2773685951","https://openalex.org/W2801883820","https://openalex.org/W2962897851","https://openalex.org/W3117000822","https://openalex.org/W4295266707"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W2885516856","https://openalex.org/W4289703016","https://openalex.org/W3094138326","https://openalex.org/W4310224730"],"abstract_inverted_index":{"We":[0,49],"propose":[1],"an":[2],"Extreme":[3],"Gradient":[4],"Boosting":[5],"framework":[6,56],"for":[7,16,42],"classification":[8],"and":[9,74],"regression":[10],"problems":[11],"emerging":[12],"in":[13,92],"machine":[14],"learning":[15],"small-sized":[17],"data":[18,26],"sources":[19],"sampled":[20],"from":[21,38],"a":[22,39,71],"discrete":[23,28],"distribution,":[24],"i.e.":[25],"containing":[27],"or":[29],"quantized":[30],"attributes.":[31],"The":[32],"model":[33],"parameters":[34],"are":[35],"iteratively":[36],"refined":[37],"prior":[40],"belief":[41],"specific":[43],"use":[44],"cases":[45],"using":[46],"Bayesian":[47],"optimization.":[48],"focus":[50],"the":[51,81,93],"application":[52],"area":[53],"of":[54,84],"this":[55,85],"on":[57,70],"detecting":[58],"fraudulent":[59],"websites.":[60],"With":[61],"properly":[62],"stated":[63],"reasoning,":[64],"we":[65],"empirically":[66],"test":[67],"our":[68],"methodology":[69],"publicly":[72],"available":[73],"bench-marked":[75],"UCI":[76],"Phishing":[77],"dataset":[78],"to":[79,89],"demonstrate":[80],"superior":[82],"performance":[83],"approach":[86],"as":[87],"compared":[88],"existing":[90],"methods":[91],"literature.":[94]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}