{"id":"https://openalex.org/W4386432038","doi":"https://doi.org/10.1109/access.2023.3311822","title":"A Collaborative DNN-Based Low-Latency IDPS for Mission-Critical Smart Factory Networks","display_name":"A Collaborative DNN-Based Low-Latency IDPS for Mission-Critical Smart Factory Networks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386432038","doi":"https://doi.org/10.1109/access.2023.3311822"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3311822","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3311822","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10239162.pdf","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":null,"license_id":null,"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://ieeexplore.ieee.org/ielx7/6287639/6514899/10239162.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057826754","display_name":"Poulmanogo Illy","orcid":"https://orcid.org/0000-0001-6334-698X"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Poulmanogo Illy","raw_affiliation_strings":["Electrical Engineering Department, &#x00C9;cole de Technologie Sup&#x00E9;rieure, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0001-6334-698X","affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, &#x00C9;cole de Technologie Sup&#x00E9;rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032243366","display_name":"Georges Kaddoum","orcid":"https://orcid.org/0000-0002-5025-6624"},"institutions":[{"id":"https://openalex.org/I56306041","display_name":"Lebanese American University","ror":"https://ror.org/00hqkan37","country_code":"LB","type":"education","lineage":["https://openalex.org/I56306041"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Georges Kaddoum","raw_affiliation_strings":["Cyber Security Systems and Applied AI Research Center, Lebanese American University, Beirut, Lebanon"],"raw_orcid":"https://orcid.org/0000-0002-5025-6624","affiliations":[{"raw_affiliation_string":"Cyber Security Systems and Applied AI Research Center, Lebanese American University, Beirut, Lebanon","institution_ids":["https://openalex.org/I56306041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.8053,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91159179,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"96317","last_page":"96329"},"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9991999864578247,"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":0.8496893644332886},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6748202443122864},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6722392439842224},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5708752870559692},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.5505264401435852},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5421202778816223},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5350215435028076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5176666378974915},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4717833697795868},{"id":"https://openalex.org/keywords/industrial-control-system","display_name":"Industrial control system","score":0.4369007647037506},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4260620176792145},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4151153266429901},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35230234265327454},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3009907305240631},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18348631262779236},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.11742773652076721},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0948026180267334}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8496893644332886},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6748202443122864},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6722392439842224},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5708752870559692},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.5505264401435852},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5421202778816223},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5350215435028076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5176666378974915},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4717833697795868},{"id":"https://openalex.org/C40071531","wikidata":"https://www.wikidata.org/wiki/Q2513962","display_name":"Industrial control system","level":3,"score":0.4369007647037506},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4260620176792145},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4151153266429901},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35230234265327454},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3009907305240631},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18348631262779236},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.11742773652076721},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0948026180267334},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2023.3311822","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3311822","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10239162.pdf","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6d840746cde347aa8afff4eb92290405","is_oa":true,"landing_page_url":"https://doaj.org/article/6d840746cde347aa8afff4eb92290405","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 11, Pp 96317-96329 (2023)","raw_type":"article"},{"id":"pmh:oai:espace2.etsmtl.ca:27884","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article publi\u00e9 dans une revue, r\u00e9vis\u00e9 par les pairs"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3311822","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3311822","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10239162.pdf","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G6627612921","display_name":null,"funder_award_id":"B-CITI CRDPJ 501617-16","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386432038.pdf","grobid_xml":"https://content.openalex.org/works/W4386432038.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1995678176","https://openalex.org/W2076758681","https://openalex.org/W2081544377","https://openalex.org/W2082364458","https://openalex.org/W2099940443","https://openalex.org/W2118795709","https://openalex.org/W2136087862","https://openalex.org/W2203584209","https://openalex.org/W2221972625","https://openalex.org/W2293559422","https://openalex.org/W2296509296","https://openalex.org/W2334853001","https://openalex.org/W2393727648","https://openalex.org/W2557450880","https://openalex.org/W2743483681","https://openalex.org/W2743678626","https://openalex.org/W2762776925","https://openalex.org/W2767135428","https://openalex.org/W2768174095","https://openalex.org/W2783810000","https://openalex.org/W2806915803","https://openalex.org/W2885128583","https://openalex.org/W2902711202","https://openalex.org/W2906723160","https://openalex.org/W2935633365","https://openalex.org/W2942067158","https://openalex.org/W2955014922","https://openalex.org/W2982514609","https://openalex.org/W3004340854","https://openalex.org/W3004752684","https://openalex.org/W3006674006","https://openalex.org/W3008764542","https://openalex.org/W3012037440","https://openalex.org/W3014887427","https://openalex.org/W3022218140","https://openalex.org/W3027095011","https://openalex.org/W3042945059","https://openalex.org/W3043115698","https://openalex.org/W3086579950","https://openalex.org/W3110991402","https://openalex.org/W3129336802","https://openalex.org/W3135165465","https://openalex.org/W4205864503","https://openalex.org/W4206672858","https://openalex.org/W4288430950","https://openalex.org/W4293704439","https://openalex.org/W4313639328","https://openalex.org/W4367172586"],"related_works":["https://openalex.org/W3084463301","https://openalex.org/W3161403725","https://openalex.org/W4223615774","https://openalex.org/W3205411230","https://openalex.org/W4286899009","https://openalex.org/W9168048","https://openalex.org/W4300849822","https://openalex.org/W4376480820","https://openalex.org/W3155891479","https://openalex.org/W3029351463"],"abstract_inverted_index":{"Industrial":[0,21],"Control":[1],"Systems":[2,61],"(ICSs)":[3],"have":[4,53],"entered":[5],"an":[6,99],"era":[7],"of":[8,23,30,82,107,115,123,169,172,179,220,243],"modernization":[9],"enabled":[10],"by":[11,174,186],"the":[12,20,36,42,74,83,91,111,121,141,167,170,180,212,218,221,238,241,244],"recent":[13],"progress":[14],"in":[15,102,192],"Information":[16],"Technologies":[17],"(IT),":[18],"particularly":[19],"Internet":[22],"Things":[24],"(IIoT).":[25],"This":[26,198],"enables":[27],"better":[28],"automation":[29],"industrial":[31],"processes":[32],"but":[33],"now":[34],"exposes":[35],"ICSs":[37,48],"to":[38,46,76,149,194,205],"cyber-attacks":[39],"that":[40],"exploit":[41],"IIoT":[43],"vulnerabilities.":[44],"Thus,":[45],"ensure":[47],"security,":[49],"numerous":[50],"research":[51,199],"works":[52],"focused":[54],"on":[55,90],"designing":[56],"Intrusion":[57],"Detection":[58],"and":[59,63,120,127,189,215,237],"Prevention":[60],"(IDPSs),":[62],"deep":[64,85,129],"learning":[65,86],"has":[66,73,227],"recently":[67],"received":[68],"considerable":[69],"attention,":[70],"as":[71],"it":[72],"potential":[75],"improve":[77],"detection":[78,232],"accuracy.":[79,197],"However,":[80],"most":[81],"proposed":[84,134,245],"solutions":[87],"focus":[88],"only":[89],"model\u2019s":[92],"accuracy":[93],"without":[94],"considering":[95],"latency,":[96],"which":[97,158,183],"is":[98,110,147,184],"essential":[100],"requirement":[101],"many":[103],"ICSs.":[104],"The":[105,133],"novelty":[106],"this":[108],"paper":[109],"time":[112],"complexity":[113],"analysis":[114],"Deep":[116],"Neural":[117],"Networks":[118],"(DNNs)":[119],"design":[122],"a":[124,144,151,176,187],"low":[125],"latency":[126],"robust":[128,188],"learning-based":[130],"collaborative":[131],"IDPS.":[132],"architecture":[135],"employs":[136],"two":[137],"classification":[138,178],"models.":[139],"In":[140],"first":[142,210],"model,":[143],"lightweight":[145],"DNN":[146,191,235],"used":[148],"perform":[150],"binary":[152],"classification,":[153],"i.e.,":[154],"normal":[155],"or":[156],"attack,":[157],"ensures":[159,166],"rapid":[160],"intrusion":[161,202],"detection.":[162],"A":[163],"second":[164],"model":[165],"identification":[168,219],"type":[171],"attacks":[173],"performing":[175],"multi-class":[177],"detected":[181,208],"anomaly,":[182],"handled":[185],"complex":[190],"order":[193],"achieve":[195],"higher":[196],"also":[200],"proposes":[201],"response":[203],"measures":[204],"deal":[206],"with":[207],"attacks,":[209],"after":[211,217],"anomaly":[213],"detection,":[214],"then":[216],"attack":[222],"type.":[223],"An":[224],"experimental":[225],"evaluation":[226],"been":[228],"provided":[229],"using":[230],"various":[231],"features,":[233],"datasets,":[234],"algorithms,":[236],"results":[239],"demonstrate":[240],"effectiveness":[242],"solution.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}
