{"id":"https://openalex.org/W4411208065","doi":"https://doi.org/10.1109/isdfs65363.2025.11011951","title":"IoT Cyberattack Detection via Fog Computing and Multilayer Perceptron Neural Networks","display_name":"IoT Cyberattack Detection via Fog Computing and Multilayer Perceptron Neural Networks","publication_year":2025,"publication_date":"2025-04-24","ids":{"openalex":"https://openalex.org/W4411208065","doi":"https://doi.org/10.1109/isdfs65363.2025.11011951"},"language":"en","primary_location":{"id":"doi:10.1109/isdfs65363.2025.11011951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isdfs65363.2025.11011951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 13th International Symposium on Digital Forensics and Security (ISDFS)","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/A5100620379","display_name":"Beatr\u00edz Gonz\u00e1lez","orcid":"https://orcid.org/0000-0003-4093-533X"},"institutions":[{"id":"https://openalex.org/I46176106","display_name":"Universidad de Burgos","ror":"https://ror.org/049da5t36","country_code":"ES","type":"education","lineage":["https://openalex.org/I46176106"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Branly Alberto Mart\u00ednez Gonz\u00e1lez","raw_affiliation_strings":["Universidad de Burgos,Grupo de Inteligencia Computacional Aplicada (GICAP),Departamento de Digitalización,Burgos,Spain,09006"],"affiliations":[{"raw_affiliation_string":"Universidad de Burgos,Grupo de Inteligencia Computacional Aplicada (GICAP),Departamento de Digitalización,Burgos,Spain,09006","institution_ids":["https://openalex.org/I46176106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118123892","display_name":"Malena P\u00e9rez Sevilla","orcid":null},"institutions":[{"id":"https://openalex.org/I46176106","display_name":"Universidad de Burgos","ror":"https://ror.org/049da5t36","country_code":"ES","type":"education","lineage":["https://openalex.org/I46176106"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Malena P\u00e9rez Sevilla","raw_affiliation_strings":["Universidad de Burgos,Grupo de Inteligencia Computacional Aplicada (GICAP),Departamento de Digitalización,Burgos,Spain,09006"],"affiliations":[{"raw_affiliation_string":"Universidad de Burgos,Grupo de Inteligencia Computacional Aplicada (GICAP),Departamento de Digitalización,Burgos,Spain,09006","institution_ids":["https://openalex.org/I46176106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103796128","display_name":"Jaime Andr\u00e9s Rinc\u00f3n Arango","orcid":null},"institutions":[{"id":"https://openalex.org/I46176106","display_name":"Universidad de Burgos","ror":"https://ror.org/049da5t36","country_code":"ES","type":"education","lineage":["https://openalex.org/I46176106"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jaime Andr\u00e9s Rinc\u00f3n Arango","raw_affiliation_strings":["Universidad de Burgos,Grupo de Inteligencia Computacional Aplicada (GICAP),Departamento de Digitalización,Burgos,Spain,09006"],"affiliations":[{"raw_affiliation_string":"Universidad de Burgos,Grupo de Inteligencia Computacional Aplicada (GICAP),Departamento de Digitalización,Burgos,Spain,09006","institution_ids":["https://openalex.org/I46176106"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037345774","display_name":"Daniel Urda","orcid":"https://orcid.org/0000-0003-2662-798X"},"institutions":[{"id":"https://openalex.org/I46176106","display_name":"Universidad de Burgos","ror":"https://ror.org/049da5t36","country_code":"ES","type":"education","lineage":["https://openalex.org/I46176106"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Daniel Urda Mu\u00f1oz","raw_affiliation_strings":["Universidad de Burgos,Grupo de Inteligencia Computacional Aplicada (GICAP),Departamento de Digitalización,Burgos,Spain,09006"],"affiliations":[{"raw_affiliation_string":"Universidad de Burgos,Grupo de Inteligencia Computacional Aplicada (GICAP),Departamento de Digitalización,Burgos,Spain,09006","institution_ids":["https://openalex.org/I46176106"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100620379"],"corresponding_institution_ids":["https://openalex.org/I46176106"],"apc_list":null,"apc_paid":null,"fwci":3.1134,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92067216,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9323999881744385,"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":0.9323999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7840080261230469},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6128315925598145},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5842598080635071},{"id":"https://openalex.org/keywords/fog-computing","display_name":"Fog computing","score":0.5214025974273682},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.435783326625824},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3942849934101105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3477029800415039}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7840080261230469},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6128315925598145},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5842598080635071},{"id":"https://openalex.org/C2986652147","wikidata":"https://www.wikidata.org/wiki/Q21809931","display_name":"Fog computing","level":3,"score":0.5214025974273682},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.435783326625824},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3942849934101105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3477029800415039}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isdfs65363.2025.11011951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isdfs65363.2025.11011951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 13th International Symposium on Digital Forensics and Security (ISDFS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W3158157485","https://openalex.org/W4285553818","https://openalex.org/W2789124470","https://openalex.org/W3000407446","https://openalex.org/W2116531472","https://openalex.org/W2103550798"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,22],"novel":[4],"methodology":[5],"designed":[6,83],"for":[7,127,181],"detecting":[8],"cyberattacks":[9],"in":[10,184],"Internet":[11],"of":[12,21,149],"Things":[13],"(IoT)":[14],"fog":[15,186],"computing":[16,187],"scenarios":[17,62],"through":[18],"the":[19,48,111,135,160],"application":[20],"Multilayer":[23],"Perceptron":[24],"(MLP)":[25],"neural":[26],"network":[27,105,154],"trained":[28,120],"and":[29,52,57,72,88,98,131,137,152,170,178],"validated":[30],"on":[31],"custom-generated":[32],"datasets.":[33],"Network":[34],"traffic":[35,106],"was":[36],"captured":[37,93],"under":[38],"strictly":[39],"controlled":[40],"conditions":[41],"using":[42,101,145],"resource-constrained":[43],"edge":[44],"devices,":[45],"such":[46,67],"as":[47,68,76,78],"Raspberry":[49],"Pi":[50],"4":[51],"Jetson":[53],"Nano,":[54],"ensuring":[55],"realistic":[56],"representative":[58],"IoT":[59,185],"interactions.":[60],"Traffic":[61],"include":[63],"typical":[64],"benign":[65,153,173],"activities":[66],"automated":[69],"web":[70],"browsing":[71],"standard":[73],"DNS":[74],"lookups,":[75],"well":[77],"targeted":[79],"Denial-of-Service":[80],"(DoS)":[81],"attacks":[82],"to":[84,163],"saturate":[85],"device":[86],"resources":[87],"disrupt":[89],"normal":[90],"operations.":[91],"The":[92,117],"data":[94],"underwent":[95],"structured":[96],"processing":[97],"feature":[99,115],"extraction":[100],"Zeek,":[102],"an":[103],"open-source":[104],"analyzer":[107],"aligned":[108],"precisely":[109],"with":[110],"established":[112],"NF-ToN-IoT":[113],"dataset":[114],"set.":[116],"MLP":[118],"model":[119],"showed":[121],"exceptional":[122],"performance,":[123],"achieving":[124],"near-perfect":[125],"metrics":[126],"Accuracy,":[128],"Precision,":[129],"Recall,":[130],"F1-score.":[132],"To":[133],"validate":[134],"robustness":[136],"generalization":[138],"capabilities":[139],"further,":[140],"external":[141,157],"evaluations":[142],"were":[143],"performed":[144],"datasets":[146],"consisting":[147],"exclusively":[148],"unseen":[150],"malicious":[151],"flows.":[155],"These":[156],"validations":[158],"confirmed":[159],"model's":[161],"ability":[162],"accurately":[164],"identify":[165],"previously":[166],"unencountered":[167],"attack":[168],"patterns":[169],"reliably":[171],"distinguish":[172],"interactions,":[174],"under-scoring":[175],"its":[176],"effectiveness":[177],"practical":[179],"viability":[180],"enhancing":[182],"cybersecurity":[183],"deployment.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}