{"id":"https://openalex.org/W4404031263","doi":"https://doi.org/10.1109/icccnt61001.2024.10725919","title":"Uniform Resource Locator Phishing in Real Time Scenario Predicted Using Novel Term Frequency-Inverse Document Frequency +N Gram in Comparison with Support Vector Machine Algorithm","display_name":"Uniform Resource Locator Phishing in Real Time Scenario Predicted Using Novel Term Frequency-Inverse Document Frequency +N Gram in Comparison with Support Vector Machine Algorithm","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404031263","doi":"https://doi.org/10.1109/icccnt61001.2024.10725919"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10725919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10725919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5114516085","display_name":"Srinivas Islavath","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Srinivas Islavath","raw_affiliation_strings":["Saveetha Institute of Medical and Technical Sciences,Dept of CSE Saveetha School of Engineering,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Saveetha Institute of Medical and Technical Sciences,Dept of CSE Saveetha School of Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031592762","display_name":"C. Rohith Bhat","orcid":"https://orcid.org/0000-0003-3920-7597"},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. Rohith Bhat","raw_affiliation_strings":["Saveetha Institute of Medical and Technical Sciences,Dept of CSE Saveetha School of Engineering,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Saveetha Institute of Medical and Technical Sciences,Dept of CSE Saveetha School of Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5114516085"],"corresponding_institution_ids":["https://openalex.org/I85461943"],"apc_list":null,"apc_paid":null,"fwci":2.4426,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91579585,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"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":0.9868999719619751,"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":0.9868999719619751,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9358999729156494,"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/term","display_name":"Term (time)","score":0.6956201791763306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6714663505554199},{"id":"https://openalex.org/keywords/n-gram","display_name":"n-gram","score":0.5522343516349792},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5394253730773926},{"id":"https://openalex.org/keywords/phishing","display_name":"Phishing","score":0.5331016778945923},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.52768874168396},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5062219500541687},{"id":"https://openalex.org/keywords/gram","display_name":"Gram","score":0.4457486569881439},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35575151443481445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2520256042480469},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15833771228790283},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.11439034342765808},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.10162678360939026},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09971252083778381}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6956201791763306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6714663505554199},{"id":"https://openalex.org/C117884012","wikidata":"https://www.wikidata.org/wiki/Q94489","display_name":"n-gram","level":3,"score":0.5522343516349792},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5394253730773926},{"id":"https://openalex.org/C83860907","wikidata":"https://www.wikidata.org/wiki/Q135005","display_name":"Phishing","level":3,"score":0.5331016778945923},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.52768874168396},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5062219500541687},{"id":"https://openalex.org/C161369605","wikidata":"https://www.wikidata.org/wiki/Q41803","display_name":"Gram","level":3,"score":0.4457486569881439},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35575151443481445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2520256042480469},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15833771228790283},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.11439034342765808},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.10162678360939026},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09971252083778381},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C523546767","wikidata":"https://www.wikidata.org/wiki/Q10876","display_name":"Bacteria","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10725919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10725919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W3094117827","https://openalex.org/W4200452047","https://openalex.org/W4225140064","https://openalex.org/W4281291316","https://openalex.org/W4281483860","https://openalex.org/W4311236795","https://openalex.org/W4367598850","https://openalex.org/W4384559276","https://openalex.org/W4387055688","https://openalex.org/W4388226012","https://openalex.org/W6748384357"],"related_works":["https://openalex.org/W2906970013","https://openalex.org/W3126081632","https://openalex.org/W2625039379","https://openalex.org/W2088254117","https://openalex.org/W4254593385","https://openalex.org/W2790582133","https://openalex.org/W1901380241","https://openalex.org/W311963822","https://openalex.org/W2789473152","https://openalex.org/W3132255358"],"abstract_inverted_index":{"To":[0],"get":[1],"the":[2,9,30,59,62,67,81,133,143,146],"most":[3],"accurate":[4],"prediction,":[5],"we":[6],"will":[7],"compare":[8,39],"two":[10,101,134],"URL":[11,97,157],"phishing":[12,27,98,158],"detection":[13],"methods,":[14],"TF-IDF+N":[15,45,92,148],"Gram":[16,46,93,149],"and":[17,23,38,47,54,65,91],"Support":[18],"Vector":[19],"Machine":[20],"(SVM).":[21],"Methodology":[22],"Chemicals":[24],"Employed:":[25],"Anticipating":[26],"attempts":[28],"is":[29,128],"primary":[31],"goal":[32],"of":[33,89,115,145],"this":[34,131],"section.":[35],"We":[36],"test":[37],"them":[40],"on":[41],"each":[42,73],"dataset":[43],"using":[44,58,105],"SVM.":[48],"The":[49,100],"pretest":[50],"powers":[51],"were":[52,77,103,109],"conducted":[53],"accepted":[55],"with":[56,61,111],"80%":[57],"GPower":[60],"values":[63],"$\\alpha=0.05$":[64],"power=0.80,":[66],"program":[68],"3.1":[69],"was":[70,84],"used.":[71],"For":[72],"group,":[74],"twenty":[75],"people":[76],"selected.":[78],"According":[79],"to":[80,86],"findings,":[82],"SVM":[83,154],"able":[85],"attain":[87],"a":[88,112],"84.03%":[90],"87.82%":[94],"in":[95,155],"detecting":[96],"attempts.":[99],"methods":[102],"compared":[104],"independent":[106],"T-tests,":[107],"results":[108],"obtained":[110],"statistical":[113],"difference":[114,122],"$\\mathbf{0.":[116],"0":[117,118,125],"1}$.":[119],"A":[120],"significant":[121],"i.e.,":[123],"($\\mathbf{p}{\\lt}\\mathbf{0.":[124],"5}$).":[126],"It":[127],"evident":[129],"from":[130,138],"that":[132],"techniques":[135],"vary":[136],"significantly":[137],"one":[139],"another.":[140],"As":[141],"per":[142],"findings":[144],"results,":[147],"Algorithm":[150],"fared":[151],"better":[152],"than":[153],"predicting":[156],"attacks.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
