{"id":"https://openalex.org/W4416593124","doi":"https://doi.org/10.3390/a18120735","title":"A Hybrid Neural Network Transformer for Detecting and Classifying Destructive Content in Digital Space","display_name":"A Hybrid Neural Network Transformer for Detecting and Classifying Destructive Content in Digital Space","publication_year":2025,"publication_date":"2025-11-23","ids":{"openalex":"https://openalex.org/W4416593124","doi":"https://doi.org/10.3390/a18120735"},"language":"en","primary_location":{"id":"doi:10.3390/a18120735","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18120735","pdf_url":"https://www.mdpi.com/1999-4893/18/12/735/pdf?version=1763955908","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/18/12/735/pdf?version=1763955908","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117759705","display_name":"Aleksandr Chechkin","orcid":null},"institutions":[{"id":"https://openalex.org/I211738395","display_name":"Financial University","ror":"https://ror.org/01hnrbb29","country_code":"RU","type":"education","lineage":["https://openalex.org/I211738395"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Aleksandr Chechkin","raw_affiliation_strings":["Department of Mathematics and Data Analysis, Financial University Under the Government of the Russian Federation, Leningradsky Ave., 49/2, 125167 Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Data Analysis, Financial University Under the Government of the Russian Federation, Leningradsky Ave., 49/2, 125167 Moscow, Russia","institution_ids":["https://openalex.org/I211738395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011030952","display_name":"Ekaterina Pleshakova","orcid":"https://orcid.org/0000-0003-3836-0258"},"institutions":[{"id":"https://openalex.org/I4210135186","display_name":"MIREA - Russian Technological University","ror":"https://ror.org/04qrtgy16","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210135186"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Ekaterina Pleshakova","raw_affiliation_strings":["MIREA\u2014Russian Technological University, 78 Vernadsky Avenue, 119454 Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"MIREA\u2014Russian Technological University, 78 Vernadsky Avenue, 119454 Moscow, Russia","institution_ids":["https://openalex.org/I4210135186"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088719400","display_name":"Sergey Gataullin","orcid":"https://orcid.org/0000-0002-0446-0552"},"institutions":[{"id":"https://openalex.org/I2802368776","display_name":"Central Economics and Mathematics Institute","ror":"https://ror.org/02n937p61","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I2802368776","https://openalex.org/I4210120228"]},{"id":"https://openalex.org/I4210135186","display_name":"MIREA - Russian Technological University","ror":"https://ror.org/04qrtgy16","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210135186"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergey Gataullin","raw_affiliation_strings":["MIREA\u2014Russian Technological University, 78 Vernadsky Avenue, 119454 Moscow, Russia","Social Modeling Lab, Central Economics and Mathematics Institute, Russian Academy of Sciences, Nakhimovsky Pr., 47, 117418 Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"MIREA\u2014Russian Technological University, 78 Vernadsky Avenue, 119454 Moscow, Russia","institution_ids":["https://openalex.org/I4210135186"]},{"raw_affiliation_string":"Social Modeling Lab, Central Economics and Mathematics Institute, Russian Academy of Sciences, Nakhimovsky Pr., 47, 117418 Moscow, Russia","institution_ids":["https://openalex.org/I2802368776"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011030952"],"corresponding_institution_ids":["https://openalex.org/I4210135186"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40410299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"12","first_page":"735","last_page":"735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.26820001006126404,"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":0.26820001006126404,"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/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.06030000001192093,"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/T14064","display_name":"Organizational and Employee Performance","score":0.041099999099969864,"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/adaptability","display_name":"Adaptability","score":0.6119999885559082},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5658000111579895},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.48730000853538513},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4765999913215637},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.44760000705718994},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4339999854564667},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.3853999972343445},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3488999903202057}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8159000277519226},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6119999885559082},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5658000111579895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5595999956130981},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.48730000853538513},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4765999913215637},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.44760000705718994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4341999888420105},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4339999854564667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4142000079154968},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3853999972343445},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3488999903202057},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.33009999990463257},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.32820001244544983},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C126082660","wikidata":"https://www.wikidata.org/wiki/Q4252370","display_name":"Digital transformation","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.25699999928474426}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/a18120735","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18120735","pdf_url":"https://www.mdpi.com/1999-4893/18/12/735/pdf?version=1763955908","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0dbeb6def9324cca890853953a40d6c1","is_oa":true,"landing_page_url":"https://doaj.org/article/0dbeb6def9324cca890853953a40d6c1","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 18, Iss 12, p 735 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/a18120735","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18120735","pdf_url":"https://www.mdpi.com/1999-4893/18/12/735/pdf?version=1763955908","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6381838575","display_name":null,"funder_award_id":"25-71-10012","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416593124.pdf","grobid_xml":"https://content.openalex.org/works/W4416593124.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W3024308166","https://openalex.org/W3172642864","https://openalex.org/W4385481295","https://openalex.org/W4385571260","https://openalex.org/W4392203599","https://openalex.org/W4394597311","https://openalex.org/W4394828356","https://openalex.org/W4400047336","https://openalex.org/W4400915556","https://openalex.org/W4405123111","https://openalex.org/W4406376836","https://openalex.org/W4407874080","https://openalex.org/W4408354155","https://openalex.org/W4408611144","https://openalex.org/W4408613641","https://openalex.org/W4410614064","https://openalex.org/W4410827884","https://openalex.org/W4411055034","https://openalex.org/W4411665267","https://openalex.org/W4411865116","https://openalex.org/W4412059482","https://openalex.org/W4413179843","https://openalex.org/W4413277723","https://openalex.org/W4413925462","https://openalex.org/W4414320956"],"related_works":[],"abstract_inverted_index":{"Cybersecurity":[0],"remains":[1],"a":[2,90,174],"key":[3],"challenge":[4],"in":[5,75,152,173],"the":[6,13,23,32,39,42,60,76,101,112,119,139,193,197,202,207,212],"development":[7,33,123],"of":[8,15,22,34,41,65,114,121,136,157,165,211],"intelligent":[9],"telecommunications":[10],"systems":[11],"and":[12,63,104,124,149,163,209],"Internet":[14],"Things":[16],"(IoT).":[17],"The":[18,155,168,185],"growing":[19],"destructive":[20,49,66,115,153],"impact":[21,67],"digital":[24,43,77],"environment,":[25,78],"coupled":[26],"with":[27,178,201],"high-performance":[28],"computing":[29],"(HPC),":[30],"requires":[31],"effective":[35],"countermeasures":[36],"to":[37,47,54,145],"ensure":[38],"security":[40],"space.":[44],"Traditional":[45],"approaches":[46],"detecting":[48],"content":[50],"are":[51,199],"primarily":[52],"limited":[53],"static":[55],"text":[56,166,183],"analysis,":[57],"which":[58,131],"ignores":[59],"temporal":[61,102],"dynamics":[62],"evolution":[64],"scenarios.":[68],"This":[69,107],"is":[70],"critical":[71],"for":[72,100],"monitoring":[73],"tasks":[74],"where":[79],"threats":[80],"rapidly":[81],"evolve.":[82],"To":[83],"overcome":[84],"this":[85,87],"limitation,":[86],"study":[88],"proposes":[89],"hybrid":[91,214],"architecture,":[92],"Hyb-TKAN,":[93],"based":[94,180],"on":[95,133,181],"adaptive":[96],"algorithms":[97],"that":[98],"account":[99],"component":[103],"nonlinear":[105,150],"dependencies.":[106],"approach":[108,170],"enables":[109],"not":[110],"only":[111],"classification":[113,176,190],"messages":[116],"but":[117],"also":[118],"analysis":[120,144],"their":[122],"transformation":[125],"over":[126],"time.":[127],"Unlike":[128],"existing":[129],"studies,":[130],"focus":[132],"individual":[134],"aspects":[135],"aggressive":[137],"content,":[138],"model":[140],"utilizes":[141],"multilayered":[142],"data":[143],"identify":[146],"hidden":[147],"relationships":[148],"patterns":[151],"messages.":[154],"integration":[156],"these":[158],"components":[159],"ensures":[160],"high":[161],"adaptability":[162],"accuracy":[164],"processing.":[167],"presented":[169],"was":[171],"implemented":[172],"multi-class":[175],"task":[177],"evaluation":[179],"real":[182],"data.":[184],"obtained":[186],"results":[187,198],"demonstrate":[188],"improved":[189],"accuracy.":[191],"In":[192],"Experimental":[194],"Analysis":[195],"Section,":[196],"compared":[200],"closest":[203],"modern":[204],"analogs,":[205],"confirming":[206],"relevance":[208],"competitiveness":[210],"proposed":[213],"neural":[215],"network.":[216]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-25T00:00:00"}