{"id":"https://openalex.org/W4283205402","doi":"https://doi.org/10.1109/infocomwkshps54753.2022.9797971","title":"Machine and Deep Learning Approaches for IoT Attack Classification","display_name":"Machine and Deep Learning Approaches for IoT Attack Classification","publication_year":2022,"publication_date":"2022-05-02","ids":{"openalex":"https://openalex.org/W4283205402","doi":"https://doi.org/10.1109/infocomwkshps54753.2022.9797971"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps54753.2022.9797971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps54753.2022.9797971","pdf_url":null,"source":{"id":"https://openalex.org/S4363607985","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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/A5026481672","display_name":"Alfredo Nascita","orcid":"https://orcid.org/0000-0002-7395-4222"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Alfredo Nascita","raw_affiliation_strings":["University of Napoli &#x201C;Federico II&#x201D;,Italy"],"affiliations":[{"raw_affiliation_string":"University of Napoli &#x201C;Federico II&#x201D;,Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055529057","display_name":"Francesco Cerasuolo","orcid":"https://orcid.org/0009-0000-6476-8092"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francesco Cerasuolo","raw_affiliation_strings":["University of Napoli &#x201C;Federico II&#x201D;,Italy"],"affiliations":[{"raw_affiliation_string":"University of Napoli &#x201C;Federico II&#x201D;,Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090871840","display_name":"Davide Di Monda","orcid":"https://orcid.org/0009-0000-3370-2226"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Davide Di Monda","raw_affiliation_strings":["University of Napoli &#x201C;Federico II&#x201D;,Italy"],"affiliations":[{"raw_affiliation_string":"University of Napoli &#x201C;Federico II&#x201D;,Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056315107","display_name":"Jonas Thern Aberia Garcia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jonas Thern Aberia Garcia","raw_affiliation_strings":["University of Napoli &#x201C;Federico II&#x201D;,Italy"],"affiliations":[{"raw_affiliation_string":"University of Napoli &#x201C;Federico II&#x201D;,Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000897225","display_name":"Antonio Montieri","orcid":"https://orcid.org/0000-0003-4340-442X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonio Montieri","raw_affiliation_strings":["University of Napoli &#x201C;Federico II&#x201D;,Italy"],"affiliations":[{"raw_affiliation_string":"University of Napoli &#x201C;Federico II&#x201D;,Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064292700","display_name":"Antonio Pescap\u00e8","orcid":"https://orcid.org/0000-0002-0221-7444"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonio Pescape","raw_affiliation_strings":["University of Napoli &#x201C;Federico II&#x201D;,Italy"],"affiliations":[{"raw_affiliation_string":"University of Napoli &#x201C;Federico II&#x201D;,Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5026481672"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.4498,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.99336008,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":1.0,"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9987999796867371,"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":0.8440213203430176},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7396053671836853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7052466869354248},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6849441528320312},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6563296318054199},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.518420934677124},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.268609881401062},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07162222266197205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8440213203430176},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7396053671836853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7052466869354248},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6849441528320312},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6563296318054199},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.518420934677124},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.268609881401062},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07162222266197205},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps54753.2022.9797971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps54753.2022.9797971","pdf_url":null,"source":{"id":"https://openalex.org/S4363607985","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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":21,"referenced_works":["https://openalex.org/W2743678626","https://openalex.org/W2750674396","https://openalex.org/W2752291283","https://openalex.org/W2762776925","https://openalex.org/W2783741806","https://openalex.org/W2891214000","https://openalex.org/W2926701059","https://openalex.org/W2963748489","https://openalex.org/W2981318525","https://openalex.org/W2991507433","https://openalex.org/W2996900869","https://openalex.org/W3029652632","https://openalex.org/W3083527560","https://openalex.org/W3112343206","https://openalex.org/W3127433831","https://openalex.org/W3131541364","https://openalex.org/W3162493711","https://openalex.org/W3164964481","https://openalex.org/W3169330763","https://openalex.org/W3179240416","https://openalex.org/W6796086926"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W4223943233","https://openalex.org/W4312200629","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W4380086463","https://openalex.org/W4225161397","https://openalex.org/W3014300295","https://openalex.org/W3164822677","https://openalex.org/W2795261237"],"abstract_inverted_index":{"In":[0,70,105],"recent":[1],"years,":[2],"Internet":[3],"of":[4,22,31,52,121,129,172],"Things":[5],"(IoT)":[6],"traffic":[7,76],"has":[8],"increased":[9],"dramatically":[10],"and":[11,58,82,98,111,123,153,177],"is":[12,40],"expected":[13],"to":[14,47,93,165],"grow":[15],"further":[16],"in":[17,54,86],"the":[18,29,140,167,170,178],"next":[19],"future.":[20],"Because":[21],"their":[23,84],"vulnerabilities,":[24],"IoT":[25,55,88,156],"devices":[26],"are":[27],"often":[28],"target":[30],"cyber-attacks":[32],"with":[33,127,148],"dramatic":[34],"consequences.":[35],"For":[36],"this":[37,71],"reason,":[38],"there":[39],"a":[41,49,67],"strong":[42],"need":[43,141],"for":[44,65,142,155],"powerful":[45],"tools":[46],"guarantee":[48],"good":[50,63],"level":[51],"security":[53],"networks.":[56],"Machine":[57],"deep":[59,80,144],"learning":[60,81,134,145],"approaches":[61],"promise":[62],"performance":[64,126,171],"such":[66],"complex":[68],"task.":[69],"work,":[72],"we":[73,108,124,160],"employ":[74],"state-of-art":[75],"classifiers":[77],"based":[78],"on":[79,169],"assess":[83,166],"effectiveness":[85],"accomplishing":[87],"attack":[89,96,157],"classification.":[90,158],"We":[91],"aim":[92],"recognize":[94],"different":[95],"classes":[97],"distinguish":[99],"them":[100],"from":[101],"benign":[102],"network":[103,174],"traffic.":[104],"more":[106],"detail,":[107],"utilize":[109],"effective":[110],"unbiased":[112],"input":[113,149],"data":[114,150],"that":[115,128],"allow":[116],"fast":[117],"(i.e.":[118,131],"\u201cearly\u201d)":[119],"detection":[120],"anomalies":[122],"compare":[125],"traditional":[130],"\u201cpostmortem\u201d)":[132],"machine":[133],"classifiers.":[135],"The":[136],"experimental":[137],"results":[138],"highlight":[139],"advanced":[143],"architectures":[146],"fed":[147],"specifically":[151],"tailored":[152],"designed":[154],"Furthermore,":[159],"perform":[161],"an":[162],"occlusion":[163],"analysis":[164],"influence":[168],"some":[173],"layer":[175],"fields":[176],"possible":[179],"bias":[180],"they":[181],"may":[182],"introduce.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":5}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}
