{"id":"https://openalex.org/W4407899208","doi":"https://doi.org/10.62411/faith.3048-3719-71","title":"BERTPHIURL: A Teacher-Student Learning Approach Using DistilRoBERTa and RoBERTa for Detecting Phishing Cyber URLs","display_name":"BERTPHIURL: A Teacher-Student Learning Approach Using DistilRoBERTa and RoBERTa for Detecting Phishing Cyber URLs","publication_year":2025,"publication_date":"2025-02-23","ids":{"openalex":"https://openalex.org/W4407899208","doi":"https://doi.org/10.62411/faith.3048-3719-71"},"language":"en","primary_location":{"id":"doi:10.62411/faith.3048-3719-71","doi":"https://doi.org/10.62411/faith.3048-3719-71","is_oa":true,"landing_page_url":"https://doi.org/10.62411/faith.3048-3719-71","pdf_url":null,"source":{"id":"https://openalex.org/S4404663256","display_name":"Journal of Future Artificial Intelligence and Technologies","issn_l":"3048-3719","issn":["3048-3719"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Future Artificial Intelligence and Technologies","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.62411/faith.3048-3719-71","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084835008","display_name":"Payman Hussein Hussan","orcid":"https://orcid.org/0000-0001-9768-0812","observed_orcids":["https://orcid.org/0000-0001-9768-0812"]},"institutions":[{"id":"https://openalex.org/I4210155527","display_name":"Al-Furat Al-Awsat Technical University","ror":"https://ror.org/04hsvhf62","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4210155527"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Payman Hussein Hussan","raw_affiliation_strings":["Al-Furat Al-Awsat Technical University"],"raw_orcid":"https://orcid.org/0000-0001-9768-0812","affiliations":[{"raw_affiliation_string":"Al-Furat Al-Awsat Technical University","institution_ids":["https://openalex.org/I4210155527"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091955657","display_name":"Syefy Mohammed Mangj","orcid":"https://orcid.org/0000-0002-1641-2064","observed_orcids":["https://orcid.org/0000-0002-1641-2064"]},"institutions":[{"id":"https://openalex.org/I4210155527","display_name":"Al-Furat Al-Awsat Technical University","ror":"https://ror.org/04hsvhf62","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4210155527"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Syefy Mohammed Mangj","raw_affiliation_strings":["Al-Furat\u00a0 Al-Awsat Technical University"],"raw_orcid":"https://orcid.org/0000-0002-1641-2064","affiliations":[{"raw_affiliation_string":"Al-Furat\u00a0 Al-Awsat Technical University","institution_ids":["https://openalex.org/I4210155527"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210155527"],"apc_list":null,"apc_paid":null,"fwci":21.6512,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.99238239,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"1","issue":"4","first_page":"417","last_page":"428"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.0,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.0,"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-url-detection","display_name":"phishing URL detection","score":0.9610000252723694},{"id":"https://openalex.org/keywords/teacher-student-learning","display_name":"teacher-student learning","score":0.8700000047683716},{"id":"https://openalex.org/keywords/knowledge-distillation","display_name":"knowledge distillation","score":0.9980000257492065},{"id":"https://openalex.org/keywords/distilroberta","display_name":"DistilRoBERTa","score":0.9309999942779541},{"id":"https://openalex.org/keywords/roberta","display_name":"RoBERTa","score":0.9990000128746033},{"id":"https://openalex.org/keywords/bert","display_name":"BERT","score":0.800000011920929},{"id":"https://openalex.org/keywords/malicious-url-classification","display_name":"malicious URL classification","score":0.7820000052452087},{"id":"https://openalex.org/keywords/real-time-detection","display_name":"real-time detection","score":0.6119999885559082},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.652999997138977},{"id":"https://openalex.org/keywords/cybersecurity","display_name":"cybersecurity","score":0.4099999964237213}],"concepts":[{"id":"https://openalex.org/C83860907","wikidata":"https://www.wikidata.org/wiki/Q135005","display_name":"Phishing","level":3,"score":0.8996771574020386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49390989542007446},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.3506969213485718},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3325080871582031},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3134123980998993},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.1287795901298523}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.62411/faith.3048-3719-71","doi":"https://doi.org/10.62411/faith.3048-3719-71","is_oa":true,"landing_page_url":"https://doi.org/10.62411/faith.3048-3719-71","pdf_url":null,"source":{"id":"https://openalex.org/S4404663256","display_name":"Journal of Future Artificial Intelligence and Technologies","issn_l":"3048-3719","issn":["3048-3719"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Future Artificial Intelligence and Technologies","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.62411/faith.3048-3719-71","doi":"https://doi.org/10.62411/faith.3048-3719-71","is_oa":true,"landing_page_url":"https://doi.org/10.62411/faith.3048-3719-71","pdf_url":null,"source":{"id":"https://openalex.org/S4404663256","display_name":"Journal of Future Artificial Intelligence and Technologies","issn_l":"3048-3719","issn":["3048-3719"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Future Artificial Intelligence and Technologies","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W3014091144","https://openalex.org/W3015735225","https://openalex.org/W3024119512","https://openalex.org/W3037276035","https://openalex.org/W3094521121","https://openalex.org/W3156048886","https://openalex.org/W3173369295","https://openalex.org/W3186997021","https://openalex.org/W3203910845","https://openalex.org/W3204452949","https://openalex.org/W4206428177","https://openalex.org/W4213072767","https://openalex.org/W4308659814","https://openalex.org/W4313588323","https://openalex.org/W4315643577","https://openalex.org/W4315767683","https://openalex.org/W4319996608","https://openalex.org/W4323065767","https://openalex.org/W4362552717","https://openalex.org/W4367676525","https://openalex.org/W4378977208","https://openalex.org/W4386920804","https://openalex.org/W4387366541","https://openalex.org/W4389724053","https://openalex.org/W4390738590","https://openalex.org/W4391091723","https://openalex.org/W4392397373","https://openalex.org/W4392667162","https://openalex.org/W4400598929","https://openalex.org/W4402660537","https://openalex.org/W4406043290","https://openalex.org/W4407022607"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2149202530","https://openalex.org/W2807822918","https://openalex.org/W2921723332","https://openalex.org/W4391093354","https://openalex.org/W2482950156","https://openalex.org/W4396966040","https://openalex.org/W2305322260"],"abstract_inverted_index":{"Phishing":[0,22],"is":[1],"a":[2,9,26,87,153,166],"fraudulent":[3,50],"activity":[4],"wherein":[5],"an":[6,19,62],"attacker":[7],"impersonates":[8],"trusted":[10],"individual":[11],"or":[12,75],"organization":[13],"to":[14,104,158],"acquire":[15],"sensitive":[16],"information":[17],"from":[18,121],"online":[20,36],"user.":[21],"websites":[23,51],"have":[24,52],"become":[25],"major":[27],"cyber-security":[28],"issue":[29],"in":[30,39,143],"the":[31,45,95,101,117,122],"contemporary":[32],"digital":[33],"landscape.":[34],"As":[35],"activities":[37],"expand":[38],"e-commerce,":[40],"banking,":[41],"and":[42,98,140],"social":[43],"media,":[44],"hazards":[46],"presented":[47],"by":[48],"these":[49],"intensified.":[53],"Deep":[54],"learning-based":[55],"Natural":[56],"Language":[57],"Processing":[58],"(NLP)":[59],"approaches":[60],"offer":[61],"effective":[63],"solution":[64],"for":[65,77,178],"detecting":[66],"phishing":[67,106,171],"URLs.":[68],"However,":[69],"deploying":[70],"large":[71],"models":[72],"like":[73],"BERT":[74],"RoBERTa":[76,93],"real-time":[78,179],"detection":[79,107,126,146,172],"poses":[80],"computational":[81,111],"challenges.":[82],"This":[83],"study":[84],"proposes":[85],"BERTPHIURL,":[86],"Teacher-Student":[88],"Learning":[89],"framework":[90],"that":[91,163],"leverages":[92],"as":[94,100],"Teacher":[96],"model":[97,103,119],"DistilRoBERTa":[99],"Student":[102,118],"improve":[105],"efficiency":[108,176],"while":[109,174],"reducing":[110],"overhead.":[112],"By":[113],"applying":[114],"knowledge":[115],"distillation,":[116],"learns":[120],"Teacher,":[123],"preserving":[124],"high":[125],"accuracy":[127],"with":[128],"significantly":[129],"lower":[130],"resource":[131],"consumption.":[132],"The":[133,148],"proposed":[134],"approach":[135],"effectively":[136],"captures":[137],"contextual":[138],"relevance":[139],"local":[141],"features":[142],"malicious":[144],"URL":[145],"tasks.":[147],"experiments":[149],"were":[150],"conducted":[151],"on":[152],"dataset":[154],"exceeding":[155],"50,000":[156],"URLs":[157],"evaluate":[159],"performance.":[160],"Results":[161],"indicate":[162],"BERTPHIURL":[164],"achieves":[165],"94.22%":[167],"accuracy,":[168],"outperforming":[169],"existing":[170],"methods":[173],"maintaining":[175],"suitable":[177],"applications.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":6}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}
