{"id":"https://openalex.org/W3093884144","doi":"https://doi.org/10.1109/wf-iot48130.2020.9221146","title":"Machine Learning Methods Assessment for Denial of Service Detection in Wireless Sensor Networks","display_name":"Machine Learning Methods Assessment for Denial of Service Detection in Wireless Sensor Networks","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3093884144","doi":"https://doi.org/10.1109/wf-iot48130.2020.9221146","mag":"3093884144"},"language":"en","primary_location":{"id":"doi:10.1109/wf-iot48130.2020.9221146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot48130.2020.9221146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 6th World Forum on Internet of Things (WF-IoT)","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/A5088303379","display_name":"Silvio E. Quincozes","orcid":"https://orcid.org/0000-0001-6793-4033"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Silvio E. Quincozes","raw_affiliation_strings":["Computing Institute, Fluminense Federal University, Niter\u00f3i, RJ, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing Institute, Fluminense Federal University, Niter\u00f3i, RJ, Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032795591","display_name":"Juliano F. Kazienko","orcid":"https://orcid.org/0000-0002-0159-3210"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Juliano F. Kazienko","raw_affiliation_strings":["Computing Institute, Fluminense Federal University, Niter\u00f3i, RJ, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing Institute, Fluminense Federal University, Niter\u00f3i, RJ, Brazil","institution_ids":["https://openalex.org/I161127581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161127581"],"apc_list":null,"apc_paid":null,"fwci":3.9812,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.95222731,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.9994000196456909,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9986000061035156,"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":0.8305565118789673},{"id":"https://openalex.org/keywords/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.8066306114196777},{"id":"https://openalex.org/keywords/denial-of-service-attack","display_name":"Denial-of-service attack","score":0.800865888595581},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.68719083070755},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6396268010139465},{"id":"https://openalex.org/keywords/flooding","display_name":"Flooding (psychology)","score":0.574884295463562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4554881155490875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4509614408016205},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.44317394495010376},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3579617440700531},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.2727493941783905},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.16281917691230774},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.15707144141197205},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07889434695243835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8305565118789673},{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.8066306114196777},{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.800865888595581},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.68719083070755},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6396268010139465},{"id":"https://openalex.org/C186594467","wikidata":"https://www.wikidata.org/wiki/Q1429176","display_name":"Flooding (psychology)","level":2,"score":0.574884295463562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4554881155490875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4509614408016205},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.44317394495010376},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3579617440700531},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2727493941783905},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.16281917691230774},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.15707144141197205},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07889434695243835},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wf-iot48130.2020.9221146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot48130.2020.9221146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 6th World Forum on Internet of Things (WF-IoT)","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":19,"referenced_works":["https://openalex.org/W1486171645","https://openalex.org/W1570448133","https://openalex.org/W1989164810","https://openalex.org/W2011778831","https://openalex.org/W2035590597","https://openalex.org/W2099940443","https://openalex.org/W2128569883","https://openalex.org/W2136032111","https://openalex.org/W2516066574","https://openalex.org/W2525336835","https://openalex.org/W2536283463","https://openalex.org/W2590373591","https://openalex.org/W2765941495","https://openalex.org/W2785881462","https://openalex.org/W2858044321","https://openalex.org/W2904034693","https://openalex.org/W2963582967","https://openalex.org/W3016607949","https://openalex.org/W3100857292"],"related_works":["https://openalex.org/W125190552","https://openalex.org/W3116127582","https://openalex.org/W4381325288","https://openalex.org/W3177133878","https://openalex.org/W3096006032","https://openalex.org/W2887207835","https://openalex.org/W2756012949","https://openalex.org/W2611637474","https://openalex.org/W2335837697","https://openalex.org/W1994311829"],"abstract_inverted_index":{"Intrusion":[0],"Detection":[1],"Systems":[2],"(IDS)":[3],"are":[4],"important":[5],"tools":[6],"to":[7,54,71,78,99],"detect":[8,100],"malicious":[9],"network":[10],"traffic.":[11],"Particularly,":[12],"the":[13,73,80,92,125,149,154,161,163,167],"efficient":[14],"detection":[15,81],"of":[16,18,29,34,60,66,76,82,94,171],"Denial":[17],"Service":[19],"(DoS)":[20],"attacks":[21,84,111],"poses":[22],"a":[23,51,58,61,119],"challenging":[24],"issue":[25],"especially":[26],"in":[27,85,112],"Internet":[28],"Things":[30],"(IoT)":[31],"scenarios":[32],"composed":[33],"resource-constrained":[35],"devices,":[36],"as":[37,50],"Wireless":[38],"Sensor":[39],"Networks":[40],"(WSN).":[41],"Additionally,":[42],"machine":[43,95],"learning":[44,96],"classification":[45,97],"methods":[46,68],"have":[47],"been":[48],"presented":[49],"prominent":[52],"approach":[53],"DoS":[55,83,110],"detection.":[56,159],"However,":[57],"lack":[59],"suitable":[62],"and":[63,106,127,134,144],"careful":[64],"assessment":[65],"such":[67],"becomes":[69],"difficult":[70],"understand":[72],"real":[74],"contribution":[75],"them":[77],"improve":[79],"WSNs.":[86,113],"This":[87],"work":[88],"aiming":[89],"at":[90],"assessing":[91],"efficiency":[93],"approaches":[98],"(i)":[101],"flooding,":[102],"(ii)":[103],"gray":[104,142],"hole,":[105],"(iii)":[107],"black":[108,145],"hole":[109,143,146],"Our":[114],"evaluation":[115],"is":[116,138,153,166],"based":[117],"on":[118,173],"WSN-based":[120],"dataset,":[121],"called":[122],"WSN-DS,":[123],"considering":[124],"accuracy":[126,133],"speediness":[128,135],"metrics.":[129],"Results":[130],"reveal":[131],"that\u2014considering":[132],"simultaneously\u2014J48":[136],"method":[137,152,165],"recommended":[139],"for":[140,157],"detecting":[141],"attacks,":[147],"whereas":[148],"Random":[150],"Tree":[151],"best":[155],"option":[156],"flooding":[158],"Regarding":[160],"speediness,":[162],"J48":[164],"fastest":[168],"consuming":[169],"0.54\u00b5s":[170],"processing":[172],"average":[174],"per":[175],"sample.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}