{"id":"https://openalex.org/W210845575","doi":"https://doi.org/10.1142/s0218213008004035","title":"LOW-EFFORT LABELING OF NETWORK EVENTS FOR INTRUSION DETECTION IN WLANS","display_name":"LOW-EFFORT LABELING OF NETWORK EVENTS FOR INTRUSION DETECTION IN WLANS","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W210845575","doi":"https://doi.org/10.1142/s0218213008004035","mag":"210845575"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213008004035","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213008004035","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-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/A5089170562","display_name":"Taghi M. Khoshgoftaar","orcid":null},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"TAGHI M. KHOSHGOFTAAR","raw_affiliation_strings":["Computer Science and Engineering, Florida Atlantic University, 777 Glades Rd., Boca Raton, FL 33431, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Florida Atlantic University, 777 Glades Rd., Boca Raton, FL 33431, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016269837","display_name":"Naeem Seliya","orcid":"https://orcid.org/0009-0001-1453-0227"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"NAEEM SELIYA","raw_affiliation_strings":["Computer and Information Science, University of Michigan\u2013Dearborn, 4901 Evergreen Rd., Dearborn, MI 48128, USA"],"affiliations":[{"raw_affiliation_string":"Computer and Information Science, University of Michigan\u2013Dearborn, 4901 Evergreen Rd., Dearborn, MI 48128, USA","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052787578","display_name":"Chris Seiffert","orcid":null},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"CHRIS SEIFFERT","raw_affiliation_strings":["Computer Science and Engineering, Florida Atlantic University, 777 Glades Rd., Boca Raton, FL 33431, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Florida Atlantic University, 777 Glades Rd., Boca Raton, FL 33431, USA","institution_ids":["https://openalex.org/I63772739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089170562"],"corresponding_institution_ids":["https://openalex.org/I63772739"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02582905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"03","first_page":"521","last_page":"537"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11158","display_name":"Wireless Networks and Protocols","score":0.9997000098228455,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9997000098228455,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9991999864578247,"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":0.9979000091552734,"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/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6207565665245056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.602597713470459},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.47653159499168396},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.35666611790657043}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6207565665245056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.602597713470459},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.47653159499168396},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.35666611790657043}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1142/s0218213008004035","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213008004035","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.545.8665","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.545.8665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.aaai.org/Papers/FLAIRS/2007/Flairs07-096.pdf","raw_type":"text"},{"id":"mag:210845575","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/flairs/flairs2007.html#KhoshgoftaarSS07","pdf_url":null,"source":{"id":"https://openalex.org/S4306421048","display_name":"The Florida AI Research Society","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"The Florida AI Research Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1516414061","https://openalex.org/W1526747343","https://openalex.org/W1528361845","https://openalex.org/W1540989013","https://openalex.org/W1884606608","https://openalex.org/W1997029057","https://openalex.org/W2123504579","https://openalex.org/W2157665255","https://openalex.org/W2160494326","https://openalex.org/W2165583526","https://openalex.org/W2168931007"],"related_works":["https://openalex.org/W3144807026","https://openalex.org/W2178576899","https://openalex.org/W2350555394","https://openalex.org/W1697964459","https://openalex.org/W2003606322","https://openalex.org/W2355532322","https://openalex.org/W2374077356","https://openalex.org/W2804040443","https://openalex.org/W2801347796","https://openalex.org/W102245938","https://openalex.org/W2390249605","https://openalex.org/W3115814693","https://openalex.org/W2373989126","https://openalex.org/W2275006726","https://openalex.org/W2364237726","https://openalex.org/W2418701259","https://openalex.org/W3096605057","https://openalex.org/W2073828460","https://openalex.org/W2325697069","https://openalex.org/W814842984"],"abstract_inverted_index":{"A":[0,118],"typical":[1],"data":[2,160],"mining":[3],"approach":[4,95,162,177],"to":[5,38,82,106,123,135,165],"network":[6,14,101],"intrusion":[7,193],"detection":[8,194],"mandates":[9],"a":[10,21,26,46,73,88,109,181,185],"training":[11,27,70,89,116,200],"dataset":[12,28,71,201],"of":[13,51,67,100,113,140,184,205],"events":[15,37],"labeled":[16,199],"as":[17,132,138],"either":[18],"normal":[19],"or":[20],"particular":[22],"attack":[23],"category.":[24],"Such":[25],"is":[29,41,80,108,121,163,178],"usually":[30],"very":[31],"large":[32,59,65,186],"since":[33],"there":[34],"are":[35],"many":[36],"track.":[39],"This":[40],"particularly":[42],"the":[43,49,55,68,76,84,98,103,114,129,173,198,203,206],"case":[44,182],"in":[45],"WLAN":[47,56],"where":[48],"number":[50,99],"devices":[52],"communicating":[53],"with":[54,61,180,209],"can":[57],"be":[58],"and":[60,152],"adhoc":[62],"connectivity.":[63],"The":[64,175],"size":[66],"unlabeled":[69],"creates":[72],"problem":[74],"for":[75],"domain":[77],"expert":[78,104,130],"who":[79],"asked":[81],"label":[83,136],"records":[85,102,137,167],"toward":[86],"creating":[87],"dataset.":[90,117],"We":[91],"present":[92],"an":[93,133,157],"effective":[94],"by":[96,172],"which":[97,128],"has":[105],"examine":[107],"relatively":[110,125],"small":[111],"proportion":[112],"given":[115],"clustering":[119],"algorithm":[120],"used":[122,164],"form":[124],"coherent":[126],"groups":[127],"examines":[131],"entity":[134],"one":[139],"four":[141],"classes:":[142],"Red":[143],"(definite":[144,154],"intrusion),":[145,148],"Yellow":[146],"(possibly":[147],"Blue":[149],"(probably":[150],"normal),":[151],"Green":[153],"normal).":[155],"Subsequently,":[156],"ensemble":[158,191],"classifier-based":[159,192],"cleansing":[161],"detect":[166],"that":[168],"were":[169],"likely":[170],"mislabeled":[171],"expert.":[174],"proposed":[176],"investigated":[179],"study":[183],"real-world":[187],"WLAN.":[188],"In":[189],"addition,":[190],"models":[195],"built":[196],"using":[197],"demonstrate":[202],"effectiveness":[204],"labeling":[207],"process":[208],"good":[210],"generalization":[211],"accuracy":[212],"over":[213],"multiple":[214],"test":[215],"datasets.":[216]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}