{"id":"https://openalex.org/W4315629879","doi":"https://doi.org/10.1109/globecom48099.2022.10000811","title":"Prior Knowledge based Advanced Persistent Threats Detection for IoT in a Realistic Benchmark","display_name":"Prior Knowledge based Advanced Persistent Threats Detection for IoT in a Realistic Benchmark","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315629879","doi":"https://doi.org/10.1109/globecom48099.2022.10000811"},"language":"en","primary_location":{"id":"doi:10.1109/globecom48099.2022.10000811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10000811","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5055658968","display_name":"Yu Shen","orcid":"https://orcid.org/0000-0003-4699-0006"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yu Shen","raw_affiliation_strings":["University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,ON,Canada","School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,ON,Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021726620","display_name":"Murat \u015eim\u015fek","orcid":"https://orcid.org/0000-0003-3156-5760"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Murat Simsek","raw_affiliation_strings":["University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,ON,Canada","School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,ON,Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003131477","display_name":"Burak Kantarc\u0131","orcid":"https://orcid.org/0000-0003-0220-7956"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Burak Kantarci","raw_affiliation_strings":["University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,ON,Canada","School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,ON,Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055542851","display_name":"Hussein T. Mouftah","orcid":"https://orcid.org/0000-0001-7939-7212"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hussein T. Mouftah","raw_affiliation_strings":["University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,ON,Canada","School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,ON,Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103268717","display_name":"Mehran Bagheri","orcid":"https://orcid.org/0000-0001-9976-805X"},"institutions":[{"id":"https://openalex.org/I4210160469","display_name":"Ciena (Canada)","ror":"https://ror.org/05agqdk49","country_code":"CA","type":"company","lineage":["https://openalex.org/I1295297804","https://openalex.org/I4210160469"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mehran Bagheri","raw_affiliation_strings":["AI and Analytics Department of Ciena Corp.,Ottawa,ON,Canada","AI and Analytics Department of Ciena Corp., Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI and Analytics Department of Ciena Corp.,Ottawa,ON,Canada","institution_ids":["https://openalex.org/I4210160469"]},{"raw_affiliation_string":"AI and Analytics Department of Ciena Corp., Ottawa, ON, Canada","institution_ids":["https://openalex.org/I4210160469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081291913","display_name":"Petar Djukic","orcid":"https://orcid.org/0000-0001-8856-8706"},"institutions":[{"id":"https://openalex.org/I4210160469","display_name":"Ciena (Canada)","ror":"https://ror.org/05agqdk49","country_code":"CA","type":"company","lineage":["https://openalex.org/I1295297804","https://openalex.org/I4210160469"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Petar Djukic","raw_affiliation_strings":["AI and Analytics Department of Ciena Corp.,Ottawa,ON,Canada","AI and Analytics Department of Ciena Corp., Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI and Analytics Department of Ciena Corp.,Ottawa,ON,Canada","institution_ids":["https://openalex.org/I4210160469"]},{"raw_affiliation_string":"AI and Analytics Department of Ciena Corp., Ottawa, ON, Canada","institution_ids":["https://openalex.org/I4210160469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4264,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90535441,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3551","last_page":"3556"},"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":0.8284792304039001},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6776052713394165},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6029915809631348},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5884621143341064},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5877023339271545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5563348531723022},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5194815397262573},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5106692910194397},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.44500258564949036},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16751766204833984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8284792304039001},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6776052713394165},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6029915809631348},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5884621143341064},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5877023339271545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5563348531723022},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5194815397262573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5106692910194397},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.44500258564949036},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16751766204833984},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom48099.2022.10000811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10000811","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2109293916","https://openalex.org/W2118144224","https://openalex.org/W2156483112","https://openalex.org/W2409945967","https://openalex.org/W2513712568","https://openalex.org/W2758790170","https://openalex.org/W2910711617","https://openalex.org/W2911994103","https://openalex.org/W2915893383","https://openalex.org/W2920971804","https://openalex.org/W3000094279","https://openalex.org/W3004179294","https://openalex.org/W3045153201","https://openalex.org/W3134236755","https://openalex.org/W3190995246","https://openalex.org/W4205670437","https://openalex.org/W4224284455","https://openalex.org/W4285198896","https://openalex.org/W4299569615","https://openalex.org/W6790790270"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W4321353415","https://openalex.org/W2913146933","https://openalex.org/W2745001401","https://openalex.org/W2372385138","https://openalex.org/W4296359239"],"abstract_inverted_index":{"The":[0,142],"number":[1],"of":[2,4,36,78,160],"Internet":[3],"Things":[5],"(IoT)":[6],"devices":[7],"being":[8],"deployed":[9],"into":[10,117],"networks":[11,21],"is":[12,32,54,64,115,163],"growing":[13],"at":[14],"a":[15],"phenomenal":[16],"pace,":[17],"which":[18,162],"makes":[19],"IoT":[20],"more":[22],"vulnerable":[23],"in":[24,72,130],"the":[25,37,41,47,59,69,76,91,98,103,111,118,127,132,136,147,151,155,167],"wireless":[26],"medium.":[27],"Advanced":[28],"Persistent":[29],"Threat":[30],"(APT)":[31],"malicious":[33],"to":[34,58,67,74,121],"most":[35],"network":[38],"facilities":[39],"and":[40,88,125,139],"available":[42],"attack":[43],"data":[44,138],"for":[45],"training":[46,123],"machine":[48],"learning-based":[49],"Intrusion":[50],"Detection":[51],"System":[52],"(IDS)":[53],"limited":[55],"when":[56],"compared":[57],"normal":[60],"traffic.":[61],"Therefore,":[62,80],"it":[63],"quite":[65],"challenging":[66],"enhance":[68],"detection":[70],"performance":[71],"order":[73],"mitigate":[75],"influence":[77],"APT.":[79],"Prior":[81],"Knowledge":[82],"Input":[83],"(PKI)":[84],"models":[85],"are":[86],"proposed":[87,99],"tested":[89],"using":[90],"SCVIC-APT-2021":[92],"dataset.":[93],"To":[94],"obtain":[95],"prior":[96,113],"knowledge,":[97],"PKI":[100,148],"model":[101,120,129,149],"pre-classifies":[102],"original":[104],"dataset":[105],"with":[106,154],"unsupervised":[107],"clustering":[108],"method.":[109],"Then,":[110],"obtained":[112],"knowledge":[114],"incorporated":[116],"supervised":[119,128,152],"decrease":[122],"complexity":[124],"assist":[126],"determining":[131],"optimal":[133],"mapping":[134],"between":[135],"raw":[137],"true":[140],"labels.":[141],"experimental":[143],"findings":[144],"indicate":[145],"that":[146],"outperforms":[150],"baseline,":[153],"best":[156],"macro":[157],"average":[158],"F1-score":[159],"81.37%,":[161],"10.47%":[164],"higher":[165],"than":[166],"baseline.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}