{"id":"https://openalex.org/W3007425261","doi":"https://doi.org/10.1109/bigdata47090.2019.9006304","title":"Worth the Wait? Time Window Feature Optimization for Attack Classification","display_name":"Worth the Wait? Time Window Feature Optimization for Attack Classification","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007425261","doi":"https://doi.org/10.1109/bigdata47090.2019.9006304","mag":"3007425261"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","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/A5051648348","display_name":"Casey Wilson","orcid":null},"institutions":[{"id":"https://openalex.org/I91036609","display_name":"Citadel","ror":"https://ror.org/01vwr6t80","country_code":"US","type":"education","lineage":["https://openalex.org/I91036609"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Casey Wilson","raw_affiliation_strings":["Department of Cyber and Computer Sciences, The Citadel Charleston, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cyber and Computer Sciences, The Citadel Charleston, SC, USA","institution_ids":["https://openalex.org/I91036609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041245378","display_name":"Xenia Mountrouidou","orcid":null},"institutions":[{"id":"https://openalex.org/I204593131","display_name":"College of Charleston","ror":"https://ror.org/00390t168","country_code":"US","type":"education","lineage":["https://openalex.org/I204593131"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xenia Mountrouidou","raw_affiliation_strings":["Department of Computer Science, College of Charleston, Charleston, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Charleston, Charleston, SC, USA","institution_ids":["https://openalex.org/I204593131"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063777231","display_name":"Anna Little","orcid":"https://orcid.org/0000-0003-0339-9259"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna Little","raw_affiliation_strings":["Department of Computational Mathematics, Michigan State University, Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Mathematics, Michigan State University, Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.23073752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"3","issue":null,"first_page":"3232","last_page":"3241"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9937999844551086,"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":0.9911999702453613,"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":0.7793868780136108},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.710188627243042},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6740761995315552},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6619642376899719},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.6600910425186157},{"id":"https://openalex.org/keywords/denial-of-service-attack","display_name":"Denial-of-service attack","score":0.5339587330818176},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48613640666007996},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.46191170811653137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4608440399169922},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4431021809577942},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4209740459918976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4053255319595337},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3888416886329651},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09272009134292603},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.08401578664779663}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7793868780136108},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.710188627243042},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6740761995315552},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6619642376899719},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.6600910425186157},{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.5339587330818176},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48613640666007996},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.46191170811653137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4608440399169922},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4431021809577942},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4209740459918976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4053255319595337},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3888416886329651},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09272009134292603},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.08401578664779663},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","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":38,"referenced_works":["https://openalex.org/W76202575","https://openalex.org/W433644524","https://openalex.org/W950853366","https://openalex.org/W1498436455","https://openalex.org/W1516506771","https://openalex.org/W1583975142","https://openalex.org/W1674877186","https://openalex.org/W1977264295","https://openalex.org/W1988918299","https://openalex.org/W1997415712","https://openalex.org/W1999427165","https://openalex.org/W2016070752","https://openalex.org/W2017337590","https://openalex.org/W2070460788","https://openalex.org/W2076384720","https://openalex.org/W2098940789","https://openalex.org/W2101109743","https://openalex.org/W2105779206","https://openalex.org/W2115755118","https://openalex.org/W2130676130","https://openalex.org/W2142889610","https://openalex.org/W2156571267","https://openalex.org/W2156612354","https://openalex.org/W2162864159","https://openalex.org/W2267339884","https://openalex.org/W2296425371","https://openalex.org/W2296509296","https://openalex.org/W2748868501","https://openalex.org/W2803881474","https://openalex.org/W2998216295","https://openalex.org/W6603113344","https://openalex.org/W6629815555","https://openalex.org/W6634829514","https://openalex.org/W6637096788","https://openalex.org/W6682904970","https://openalex.org/W6697204302","https://openalex.org/W6743493502","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W4386482731","https://openalex.org/W2765763546","https://openalex.org/W4385302085","https://openalex.org/W2360429410","https://openalex.org/W4390188535","https://openalex.org/W4256682929","https://openalex.org/W335511927","https://openalex.org/W2471811227","https://openalex.org/W2793528815","https://openalex.org/W3014558862"],"abstract_inverted_index":{"Time":[0],"as":[1,36,64],"a":[2,37,65,79,123,130],"variable":[3],"for":[4,51,67,74,81,149],"generating":[5,68],"features":[6,73,119,138],"has":[7,42],"been":[8,43],"widely":[9],"overlooked":[10],"in":[11,114],"Intrusion":[12],"Detection":[13],"System":[14],"(IDS)":[15],"research.":[16],"Computer":[17],"and":[18,35,53,71,84,92],"network":[19],"attacks":[20,151],"are":[21,120],"time":[22,25,50,62,93,126,133,144],"series,":[23],"where":[24],"is":[26,106],"an":[27],"important":[28],"factor":[29],"that":[30,86,104,137,171],"may":[31,145],"affect":[32],"feature":[33,82],"generation,":[34],"result,":[38],"classification.":[39,76],"Nevertheless,":[40],"there":[41,105],"little":[44],"exploration":[45],"on":[46],"how":[47],"to":[48,108,129,161],"calibrate":[49],"IDSs":[52],"attack":[54,75,115,118],"classification":[55,116],"techniques.":[56],"In":[57],"this":[58,101],"paper":[59],"we":[60],"explore":[61],"windows":[63],"technique":[66],"more":[69,147],"effective":[70,164],"descriptive":[72],"We":[77,135],"suggest":[78],"framework":[80,102],"generation":[83],"selection":[85],"uses":[87],"Recursive":[88],"Feature":[89],"Elimination":[90],"(RFE)":[91],"window":[94],"exploration.":[95],"Our":[96,158],"initial":[97],"results":[98],"when":[99,117],"applying":[100],"indicate":[103],"up":[107],"47%":[109],"improvement":[110],"of":[111,125,143,156,178],"F1":[112],"scores":[113],"generated":[121],"over":[122,140,153,173],"variety":[124],"windows,":[127],"compared":[128],"single,":[131],"global":[132],"window.":[134],"find":[136],"calculated":[139],"longer":[141],"lengths":[142,155],"be":[146,162],"useful":[148],"detecting":[150,166],"than":[152],"shorter":[154],"time.":[157,179],"methods":[159],"seem":[160],"most":[163],"at":[165],"DDoS":[167],"attacks,":[168],"particularly":[169],"those":[170],"occur":[172],"medium":[174],"or":[175],"long":[176],"durations":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
