{"id":"https://openalex.org/W4399207079","doi":"https://doi.org/10.1109/wfcs60972.2024.10540991","title":"IIoT Intrusion Detection using Lightweight Deep Learning Models on Edge Devices","display_name":"IIoT Intrusion Detection using Lightweight Deep Learning Models on Edge Devices","publication_year":2024,"publication_date":"2024-04-17","ids":{"openalex":"https://openalex.org/W4399207079","doi":"https://doi.org/10.1109/wfcs60972.2024.10540991"},"language":"en","primary_location":{"id":"doi:10.1109/wfcs60972.2024.10540991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wfcs60972.2024.10540991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Factory Communication Systems (WFCS)","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/A5098957434","display_name":"Amanda Ericson","orcid":null},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Amanda Ericson","raw_affiliation_strings":["Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden","Department of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden","institution_ids":["https://openalex.org/I56475706"]},{"raw_affiliation_string":"Department of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, Sweden","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044064820","display_name":"Stefan Forsstr\u00f6m","orcid":"https://orcid.org/0000-0002-1797-1095"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Stefan Forsstr\u00f6m","raw_affiliation_strings":["Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden","Department of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden","institution_ids":["https://openalex.org/I56475706"]},{"raw_affiliation_string":"Department of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, Sweden","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065495584","display_name":"Kyi Thar","orcid":null},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Kyi Thar","raw_affiliation_strings":["Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden","Department of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden","institution_ids":["https://openalex.org/I56475706"]},{"raw_affiliation_string":"Department of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, Sweden","institution_ids":["https://openalex.org/I56475706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5098957434"],"corresponding_institution_ids":["https://openalex.org/I56475706"],"apc_list":null,"apc_paid":null,"fwci":3.8389,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.93820233,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.8134615421295166},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.7227672934532166},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6587787866592407},{"id":"https://openalex.org/keywords/industrial-internet","display_name":"Industrial Internet","score":0.6534595489501953},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.638913631439209},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6193370819091797},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5918527245521545},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5785198211669922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5612002611160278},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47669312357902527},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4677477180957794},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4249069094657898},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3756646513938904},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.22274640202522278}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8134615421295166},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.7227672934532166},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6587787866592407},{"id":"https://openalex.org/C202839342","wikidata":"https://www.wikidata.org/wiki/Q60740481","display_name":"Industrial Internet","level":3,"score":0.6534595489501953},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.638913631439209},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6193370819091797},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5918527245521545},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5785198211669922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5612002611160278},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47669312357902527},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4677477180957794},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4249069094657898},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3756646513938904},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.22274640202522278},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wfcs60972.2024.10540991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wfcs60972.2024.10540991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Factory Communication Systems (WFCS)","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":18,"referenced_works":["https://openalex.org/W2017420094","https://openalex.org/W2103414007","https://openalex.org/W2296509296","https://openalex.org/W2334853001","https://openalex.org/W2399941526","https://openalex.org/W2807621303","https://openalex.org/W2897475131","https://openalex.org/W2926701059","https://openalex.org/W3014907911","https://openalex.org/W3016987480","https://openalex.org/W3081892659","https://openalex.org/W3086419524","https://openalex.org/W3091285855","https://openalex.org/W3093410479","https://openalex.org/W3116720533","https://openalex.org/W3121463837","https://openalex.org/W3202905974","https://openalex.org/W4226499103"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313526662","https://openalex.org/W3111395152","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4313463379","https://openalex.org/W4288000017"],"abstract_inverted_index":{"In":[0],"the":[1,15,23,37,52,62,83,92,96,103,112,116,120,127],"rapidly":[2],"evolving":[3],"cybersecurity":[4],"landscape,":[5],"detecting":[6],"and":[7,48,137,146,160],"preventing":[8],"network":[9],"attacks":[10],"has":[11],"become":[12],"crucial":[13],"within":[14,32],"industrial":[16,166],"sector.":[17],"This":[18,123],"study":[19,104],"aims":[20],"to":[21],"explore":[22],"potential":[24],"of":[25,40,64,89,95,119,148],"intrusion":[26],"detection":[27],"by":[28],"employing":[29],"deep":[30],"learning":[31],"edge":[33,74],"computing,":[34],"especially":[35,132],"for":[36,99,129],"Industrial":[38],"Internet":[39],"Things.":[41],"Specifically,":[42],"TinyML":[43],"converted":[44],"CNN,":[45],"LSTM,":[46],"Transformer-LSTM,":[47],"GCN":[49,84],"models":[50,98],"on":[51],"UNSW-NB15":[53],"dataset.":[54],"A":[55],"comprehensive":[56],"dataset":[57,135],"analysis":[58,71],"gained":[59],"insights":[60],"into":[61],"nature":[63],"attack":[65],"behavior":[66],"data.":[67],"Subsequently,":[68],"a":[69,154],"comparative":[70],"in":[72,133,162],"an":[73,163],"computing":[75],"setup":[76],"using":[77],"Raspberry":[78],"Pi":[79],"units":[80],"revealed":[81],"that":[82],"model,":[85],"with":[86],"its":[87],"accuracy":[88],"97.5%,":[90],"was":[91,115],"best":[93],"suited":[94],"compared":[97,121],"this":[100,150],"application.":[101],"However,":[102],"also":[105,125],"explored":[106],"variables":[107],"like":[108],"time":[109],"consumption,":[110],"where":[111],"CNN":[113],"model":[114,139],"fastest":[117],"out":[118],"models.":[122],"research":[124,151],"highlights":[126],"need":[128],"continued":[130],"exploration,":[131],"addressing":[134],"imbalances":[136],"enhancing":[138],"generalizability.":[140],"By":[141],"recognizing":[142],"each":[143],"model's":[144],"strengths":[145],"areas":[147],"improvement,":[149],"serves":[152],"as":[153],"step":[155],"toward":[156],"bolstering":[157],"digital":[158],"safety":[159],"security":[161],"increasingly":[164],"interconnected":[165],"world.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
