{"id":"https://openalex.org/W4200461825","doi":"https://doi.org/10.1177/15501477211059940","title":"A multi-factor integration-based semi-supervised learning for address resolution protocol attack detection in SDIIoT","display_name":"A multi-factor integration-based semi-supervised learning for address resolution protocol attack detection in SDIIoT","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4200461825","doi":"https://doi.org/10.1177/15501477211059940"},"language":"en","primary_location":{"id":"doi:10.1177/15501477211059940","is_oa":true,"landing_page_url":"https://doi.org/10.1177/15501477211059940","pdf_url":null,"source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1177/15501477211059940","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020561528","display_name":"Zhong Li","orcid":"https://orcid.org/0000-0003-2304-923X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhong Li","raw_affiliation_strings":["College of Information Science and Technology, Donghua University, Shanghai, China","The Key Laboratory of Embedded System and Service Computing Ministry of Education, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2304-923X","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"The Key Laboratory of Embedded System and Service Computing Ministry of Education, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079215004","display_name":"Huimin Zhuang","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimin Zhuang","raw_affiliation_strings":["College of Information Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020561528"],"corresponding_institution_ids":["https://openalex.org/I116953780","https://openalex.org/I181326427"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":0.1519,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53631843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"17","issue":"12","first_page":"155014772110599","last_page":"155014772110599"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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":0.9998000264167786,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.9934999942779541,"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":0.9025958776473999},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.6809619069099426},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5767021179199219},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5187373757362366},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4967566132545471},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.46071112155914307},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.457967072725296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44483301043510437},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.43337365984916687},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4119732677936554},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1608494520187378},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11132749915122986},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07994365692138672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9025958776473999},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.6809619069099426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5767021179199219},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5187373757362366},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4967566132545471},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.46071112155914307},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.457967072725296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44483301043510437},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.43337365984916687},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4119732677936554},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1608494520187378},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11132749915122986},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07994365692138672},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1177/15501477211059940","is_oa":true,"landing_page_url":"https://doi.org/10.1177/15501477211059940","pdf_url":null,"source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:sae:intdis:v:17:y:2021:i:12:p:15501477211059940","is_oa":false,"landing_page_url":"https://journals.sagepub.com/doi/10.1177/15501477211059940","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:941d6044f9324a73852d5085ff558d80","is_oa":true,"landing_page_url":"https://doaj.org/article/941d6044f9324a73852d5085ff558d80","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":"International Journal of Distributed Sensor Networks, Vol 17 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1177/15501477211059940","is_oa":true,"landing_page_url":"https://doi.org/10.1177/15501477211059940","pdf_url":null,"source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1509515766","https://openalex.org/W1968817125","https://openalex.org/W2032642422","https://openalex.org/W2040356073","https://openalex.org/W2106178546","https://openalex.org/W2129838208","https://openalex.org/W2151222380","https://openalex.org/W2153233077","https://openalex.org/W2165396616","https://openalex.org/W2319961868","https://openalex.org/W2320995466","https://openalex.org/W2782004535","https://openalex.org/W2785208313","https://openalex.org/W2789511664","https://openalex.org/W2807184217","https://openalex.org/W2891362044","https://openalex.org/W2945639270","https://openalex.org/W4231862718","https://openalex.org/W4233976623","https://openalex.org/W4234025794","https://openalex.org/W4238584409","https://openalex.org/W4248038426","https://openalex.org/W4250183413","https://openalex.org/W4254526136","https://openalex.org/W4256712666"],"related_works":["https://openalex.org/W2065457896","https://openalex.org/W3173234801","https://openalex.org/W2167984027","https://openalex.org/W3021302227","https://openalex.org/W10630519","https://openalex.org/W1919377569","https://openalex.org/W3144288563","https://openalex.org/W3123907821","https://openalex.org/W2382319620","https://openalex.org/W2164026370"],"abstract_inverted_index":{"Nowadays,":[0],"in":[1,66,85,141,180],"the":[2,15,19,37,74,86,116,127,133,138,147,192,218],"industrial":[3,24],"Internet":[4,25],"of":[5,17,26,39,42,76,194],"things,":[6],"address":[7,60,88,117,182,210],"resolution":[8,61,89,118,183,211],"protocol":[9,62,90,119,184,212],"attacks":[10,185],"are":[11],"still":[12],"rampant.":[13],"Recently,":[14],"idea":[16],"applying":[18],"software-defined":[20,67],"networking":[21],"paradigm":[22,35],"to":[23,53,71,125,143],"things":[27],"is":[28],"proposed":[29],"by":[30],"many":[31],"scholars":[32],"since":[33],"this":[34],"has":[36],"advantages":[38,50],"flexible":[40],"deployment":[41],"intelligent":[43],"algorithms":[44],"and":[45,81,104,166,189,197,207],"global":[46],"coordination":[47],"capabilities.":[48],"These":[49],"prompt":[51],"us":[52],"propose":[54,105],"a":[55,98,106,157,163,167],"multi-factor":[56,99],"integration-based":[57,100],"semi-supervised":[58,107],"learning":[59,108,206],"detection":[63,91,213],"method":[64,103],"deployed":[65],"networking,":[68],"called":[69],"MIS,":[70],"specially":[72],"solve":[73],"problems":[75],"limited":[77],"labeled":[78],"training":[79],"data":[80,159,169],"incomplete":[82],"features":[83,121],"extraction":[84,102],"traditional":[87],"methods.":[92],"In":[93],"MIS":[94,114,175,215],"method,":[95],"we":[96],"design":[97],"feature":[101],"framework":[109],"with":[110,150,186,203],"differential":[111,134],"priority":[112,135],"sampling.":[113],"considers":[115],"attack":[120],"from":[122,146,162],"different":[123],"aspects":[124],"help":[126],"model":[128],"make":[129],"correct":[130],"judgment.":[131],"Meanwhile,":[132,201],"sampling":[136],"enables":[137],"base":[139],"learner":[140],"self-training":[142],"learn":[144],"efficiently":[145],"unlabeled":[148],"samples":[149],"differences.":[151],"We":[152],"conduct":[153],"experiments":[154,172],"based":[155],"on":[156,199],"real":[158],"set":[160],"collected":[161],"deepwater":[164],"port":[165],"simulated":[168],"set.":[170],"The":[171],"show":[173],"that":[174],"can":[176],"achieve":[177],"good":[178],"performance":[179],"detecting":[181],"F1-measure,":[187],"accuracy,":[188],"area":[190],"under":[191],"curve":[193],"97.28%,":[195],"99.41%,":[196],"98.36%":[198],"average.":[200],"compared":[202],"fully":[204],"supervised":[205],"other":[208],"popular":[209],"methods,":[214],"also":[216],"shows":[217],"best":[219],"performance.":[220]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
