{"id":"https://openalex.org/W4406947364","doi":"https://doi.org/10.1109/access.2025.3535996","title":"A Multi-Faceted Approach to Trending Topic Attack Detection Using Semantic Similarity and Large-Scale Datasets","display_name":"A Multi-Faceted Approach to Trending Topic Attack Detection Using Semantic Similarity and Large-Scale Datasets","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406947364","doi":"https://doi.org/10.1109/access.2025.3535996"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3535996","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3535996","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3535996","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068314267","display_name":"Insaf Kraidia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160465","display_name":"Universit\u00e9 Constantine 2","ror":"https://ror.org/056mctw68","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210160465"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Insaf Kraidia","raw_affiliation_strings":["LIRE Laboratory, University of Constantine 2&#x2013;Abdelhamid Mehri, Ali Mendjeli Campus, Constantine, Algeria","LIRE Laboratory, University of Constantine 2 - Abdelhamid Mehri, Ali Mendjeli Campus, Constantine, Algeria"],"raw_orcid":"https://orcid.org/0000-0001-5538-9883","affiliations":[{"raw_affiliation_string":"LIRE Laboratory, University of Constantine 2&#x2013;Abdelhamid Mehri, Ali Mendjeli Campus, Constantine, Algeria","institution_ids":["https://openalex.org/I4210160465"]},{"raw_affiliation_string":"LIRE Laboratory, University of Constantine 2 - Abdelhamid Mehri, Ali Mendjeli Campus, Constantine, Algeria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046839751","display_name":"Afifa Ghenai","orcid":"https://orcid.org/0000-0002-0758-0226"},"institutions":[{"id":"https://openalex.org/I4210160465","display_name":"Universit\u00e9 Constantine 2","ror":"https://ror.org/056mctw68","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210160465"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Afifa Ghenai","raw_affiliation_strings":["LIRE Laboratory, University of Constantine 2&#x2013;Abdelhamid Mehri, Ali Mendjeli Campus, Constantine, Algeria","LIRE Laboratory, University of Constantine 2 - Abdelhamid Mehri, Ali Mendjeli Campus, Constantine, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIRE Laboratory, University of Constantine 2&#x2013;Abdelhamid Mehri, Ali Mendjeli Campus, Constantine, Algeria","institution_ids":["https://openalex.org/I4210160465"]},{"raw_affiliation_string":"LIRE Laboratory, University of Constantine 2 - Abdelhamid Mehri, Ali Mendjeli Campus, Constantine, Algeria","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053691175","display_name":"Samir Brahim Belhaouari","orcid":"https://orcid.org/0000-0003-2336-0490"},"institutions":[{"id":"https://openalex.org/I4210144839","display_name":"Hamad bin Khalifa University","ror":"https://ror.org/03eyq4y97","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210144839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Samir Brahim Belhaouari","raw_affiliation_strings":["Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Ar-Rayyan, Doha, Qatar","College of Science and Engineering, Division of Information and Computing Technology, Hamad Bin Khalifa University, Ar-Rayyan, Doha, Qatar"],"raw_orcid":"https://orcid.org/0000-0003-2336-0490","affiliations":[{"raw_affiliation_string":"Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Ar-Rayyan, Doha, Qatar","institution_ids":["https://openalex.org/I4210144839"]},{"raw_affiliation_string":"College of Science and Engineering, Division of Information and Computing Technology, Hamad Bin Khalifa University, Ar-Rayyan, Doha, Qatar","institution_ids":["https://openalex.org/I4210144839"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068314267"],"corresponding_institution_ids":["https://openalex.org/I4210160465"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":9.6196,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.97704422,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"13","issue":null,"first_page":"21005","last_page":"21028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9570000171661377,"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":0.9484999775886536,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7968727350234985},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6282967329025269},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6226885318756104},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.620789110660553},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46839046478271484},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4351988434791565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29174861311912537},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.05411764979362488}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7968727350234985},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6282967329025269},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6226885318756104},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.620789110660553},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46839046478271484},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4351988434791565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29174861311912537},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.05411764979362488},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2025.3535996","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3535996","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8df8a742fb9440d1b903df02fb5d24ad","is_oa":true,"landing_page_url":"https://doaj.org/article/8df8a742fb9440d1b903df02fb5d24ad","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 21005-21028 (2025)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/30234103","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal contribution"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3535996","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3535996","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1500435738","https://openalex.org/W1998871422","https://openalex.org/W2152195021","https://openalex.org/W2295598076","https://openalex.org/W2893782310","https://openalex.org/W2963709863","https://openalex.org/W2968275991","https://openalex.org/W2970641574","https://openalex.org/W2979718337","https://openalex.org/W2985594467","https://openalex.org/W3010636062","https://openalex.org/W3012513060","https://openalex.org/W3217242594","https://openalex.org/W4214817138","https://openalex.org/W4226418765","https://openalex.org/W4226420196","https://openalex.org/W4236137412","https://openalex.org/W4283210272","https://openalex.org/W4296983654","https://openalex.org/W4309422508","https://openalex.org/W4324117717","https://openalex.org/W4366548666","https://openalex.org/W4366586196","https://openalex.org/W4367309892","https://openalex.org/W4367368999","https://openalex.org/W4367725542","https://openalex.org/W4372342929","https://openalex.org/W4376118231","https://openalex.org/W4379620055","https://openalex.org/W4380451179","https://openalex.org/W4380685549","https://openalex.org/W4381735966","https://openalex.org/W4385831533","https://openalex.org/W4388483101","https://openalex.org/W4389640575","https://openalex.org/W4392567324","https://openalex.org/W4392891260","https://openalex.org/W4392909528","https://openalex.org/W4394579912","https://openalex.org/W4400120664","https://openalex.org/W4400762160","https://openalex.org/W4401580108","https://openalex.org/W4402822963","https://openalex.org/W4405022532","https://openalex.org/W6811167581","https://openalex.org/W6854007478"],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2012019886","https://openalex.org/W2388928357","https://openalex.org/W2166090428","https://openalex.org/W2381021552","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2176214140","https://openalex.org/W2516873349"],"abstract_inverted_index":{"Twitter\u2019s":[0],"widespread":[1],"popularity":[2],"has":[3],"made":[4],"it":[5],"a":[6,105,176],"prime":[7],"target":[8],"for":[9,151,155,165,171,179],"malicious":[10,196],"actors":[11],"exploiting":[12],"trending":[13,33,181],"hashtags":[14],"to":[15,31,81,163,169],"disseminate":[16],"harmful":[17],"content.":[18],"This":[19],"study":[20],"marks":[21],"the":[22,41,93,187],"first":[23],"systematic":[24],"exploration":[25],"of":[26,44,97,149,191],"semantic":[27,42,51],"consistency":[28],"in":[29,194],"tweets":[30],"detect":[32],"topic":[34,182],"attacks.":[35],"Unlike":[36],"previous":[37],"approaches,":[38],"we":[39,65],"emphasize":[40],"aspect":[43],"tweets,":[45,76],"leveraging":[46],"advanced":[47],"techniques":[48],"such":[49],"as":[50],"similarity":[52],"estimation":[53],"using":[54,104],"WordNet":[55],"and":[56,73,84,95,112,125,139,153,167,189],"contextual":[57],"understanding":[58],"through":[59],"Sentence-Transformers.":[60],"To":[61],"support":[62],"this":[63],"methodology,":[64],"curated":[66],"large-scale,":[67],"high-quality":[68],"datasets":[69,138],"comprising":[70],"7,000":[71],"Arabic":[72],"28,000":[74],"English":[75,152,166],"applying":[77],"tailored":[78],"preprocessing":[79],"steps":[80],"ensure":[82],"efficiency":[83],"accuracy.":[85],"A":[86],"novel":[87],"data":[88],"augmentation":[89],"technique":[90],"further":[91],"enriched":[92],"quality":[94],"diversity":[96],"these":[98],"datasets.":[99],"We":[100],"evaluated":[101],"our":[102,192],"approach":[103,143],"comprehensive":[106],"framework":[107],"that":[108],"assessed":[109],"textual,":[110],"image,":[111],"overall":[113],"similarity.":[114],"Five":[115],"machine":[116],"learning":[117,140],"models\u2014Random":[118],"Forest,":[119],"Decision":[120],"Tree,":[121],"K-Neighbors,":[122],"Gradient":[123],"Boosting,":[124],"XGBoost\u2014were":[126],"tested,":[127],"with":[128,157],"results":[129,174],"benchmarked":[130],"against":[131],"nine":[132],"baseline":[133],"methods":[134],"across":[135,184],"different":[136],"linguistic":[137],"scenarios.":[141],"Our":[142],"demonstrated":[144],"superior":[145],"performance,":[146],"achieving":[147],"F1-scores":[148],"96%":[150],"97%":[154],"Arabic,":[156],"accuracy":[158],"improvements":[159],"ranging":[160],"from":[161],"2%":[162],"14%":[164],"5%":[168],"28%":[170],"Arabic.":[172],"These":[173],"establish":[175],"new":[177],"benchmark":[178],"detecting":[180],"attacks":[183],"languages,":[185],"highlighting":[186],"robustness":[188],"effectiveness":[190],"method":[193],"combating":[195],"activities":[197],"on":[198],"social":[199],"platforms.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2025-10-10T00:00:00"}
