{"id":"https://openalex.org/W4353057854","doi":"https://doi.org/10.1007/s11227-023-05197-0","title":"EIDM: deep learning model for IoT intrusion detection systems","display_name":"EIDM: deep learning model for IoT intrusion detection systems","publication_year":2023,"publication_date":"2023-03-22","ids":{"openalex":"https://openalex.org/W4353057854","doi":"https://doi.org/10.1007/s11227-023-05197-0"},"language":"en","primary_location":{"id":"doi:10.1007/s11227-023-05197-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11227-023-05197-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11227-023-05197-0.pdf","source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11227-023-05197-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059168344","display_name":"Omar Elnakib","orcid":"https://orcid.org/0000-0002-2811-4232"},"institutions":[{"id":"https://openalex.org/I107720978","display_name":"Ain Shams University","ror":"https://ror.org/00cb9w016","country_code":"EG","type":"education","lineage":["https://openalex.org/I107720978"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Omar Elnakib","raw_affiliation_strings":["Department of Computer Systems, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Systems, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt","institution_ids":["https://openalex.org/I107720978"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031862244","display_name":"Eman Shaaban","orcid":"https://orcid.org/0000-0001-8889-3242"},"institutions":[{"id":"https://openalex.org/I107720978","display_name":"Ain Shams University","ror":"https://ror.org/00cb9w016","country_code":"EG","type":"education","lineage":["https://openalex.org/I107720978"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Eman Shaaban","raw_affiliation_strings":["Department of Computer Systems, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Systems, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt","institution_ids":["https://openalex.org/I107720978"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071309872","display_name":"Mohamed Mahmoud","orcid":"https://orcid.org/0000-0002-8719-501X"},"institutions":[{"id":"https://openalex.org/I63920570","display_name":"Tennessee Technological University","ror":"https://ror.org/05drmrq39","country_code":"US","type":"education","lineage":["https://openalex.org/I63920570"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Mahmoud","raw_affiliation_strings":["Electrical and Computer Engineering, Tennessee Technological University, Cookeville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Tennessee Technological University, Cookeville, TN, USA","institution_ids":["https://openalex.org/I63920570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030742170","display_name":"Karim Emara","orcid":"https://orcid.org/0000-0002-7318-9049"},"institutions":[{"id":"https://openalex.org/I107720978","display_name":"Ain Shams University","ror":"https://ror.org/00cb9w016","country_code":"EG","type":"education","lineage":["https://openalex.org/I107720978"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Karim Emara","raw_affiliation_strings":["Department of Computer Systems, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Systems, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt","institution_ids":["https://openalex.org/I107720978"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030742170"],"corresponding_institution_ids":["https://openalex.org/I107720978"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":19.8199,"has_fulltext":true,"cited_by_count":105,"citation_normalized_percentile":{"value":0.99650755,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"79","issue":"12","first_page":"13241","last_page":"13261"},"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":0.9995999932289124,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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":0.8930259346961975},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.8184096217155457},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6989012956619263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6863123178482056},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6780732274055481},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5882048606872559},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5832117199897766},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4666728079319},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4125116765499115},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.27102553844451904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8930259346961975},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.8184096217155457},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6989012956619263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6863123178482056},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6780732274055481},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5882048606872559},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5832117199897766},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4666728079319},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4125116765499115},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.27102553844451904},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11227-023-05197-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11227-023-05197-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11227-023-05197-0.pdf","source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11227-023-05197-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11227-023-05197-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11227-023-05197-0.pdf","source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321119","display_name":"Ain Shams University","ror":"https://ror.org/00cb9w016"},{"id":"https://openalex.org/F4320321655","display_name":"Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4353057854.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1973445088","https://openalex.org/W2009033060","https://openalex.org/W2076587863","https://openalex.org/W2559094099","https://openalex.org/W2789828921","https://openalex.org/W2791951418","https://openalex.org/W2911505293","https://openalex.org/W2921019731","https://openalex.org/W2925211503","https://openalex.org/W2958285686","https://openalex.org/W2980576170","https://openalex.org/W3003685271","https://openalex.org/W3007238289","https://openalex.org/W3015392399","https://openalex.org/W3019610589","https://openalex.org/W3020687048","https://openalex.org/W3024905798","https://openalex.org/W3087836803","https://openalex.org/W3125345207","https://openalex.org/W3131438039","https://openalex.org/W3169330763","https://openalex.org/W3184668263"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W4361251261","https://openalex.org/W3031181660","https://openalex.org/W4375867731"],"abstract_inverted_index":{"Abstract":[0],"Internet":[1],"of":[2,27,38,88,107,117],"Things":[3],"(IoT)":[4],"is":[5,19,34,123],"a":[6],"disruptive":[7],"technology":[8],"for":[9,32],"the":[10,25,59,86,92],"future":[11],"decades.":[12],"Due":[13],"to":[14,21,44,48,103],"its":[15],"pervasive":[16],"growth,":[17],"it":[18],"susceptible":[20],"cyber-attacks,":[22],"and":[23,51,55,120,127],"hence":[24],"significance":[26],"Intrusion":[28,67],"Detection":[29,68],"Systems":[30],"(IDSs)":[31],"IoT":[33],"pertinent.":[35],"The":[36],"viability":[37],"machine":[39],"learning":[40,46,70,98],"has":[41,136],"encouraged":[42],"analysts":[43],"apply":[45],"techniques":[47],"intelligently":[49],"discover":[50],"recognize":[52],"cyber":[53],"attacks":[54],"unusual":[56],"behavior":[57],"among":[58],"IoTs.":[60],"This":[61],"paper":[62],"proposes":[63],"an":[64],"enhanced":[65],"anomaly-based":[66],"Deep":[69],"Multi-class":[71],"classification":[72,118],"model":[73],"(EIDM)":[74],"that":[75,134],"can":[76],"classify":[77,104],"15":[78],"traffic":[79,109],"behaviors":[80],"including":[81],"14":[82],"attack":[83],"types":[84],"with":[85],"accuracy":[87,119],"95%":[89],"contained":[90],"in":[91,115],"CICIDS2017":[93],"dataset.":[94],"Four":[95],"state-of-the-art":[96,129],"deep":[97,130],"models":[99],"are":[100],"also":[101],"customized":[102],"six":[105],"classes":[106],"network":[108],"behavior.":[110],"An":[111],"extensive":[112],"comparative":[113],"study":[114],"terms":[116],"efficiency":[121],"metrics":[122],"conducted":[124],"between":[125],"EIDM":[126,135],"several":[128],"learning-based":[131],"IDSs":[132],"showing":[133],"achieved":[137],"accurate":[138],"detection":[139],"results.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":46},{"year":2024,"cited_by_count":35},{"year":2023,"cited_by_count":11}],"updated_date":"2026-06-17T08:01:34.144755","created_date":"2025-10-10T00:00:00"}