{"id":"https://openalex.org/W2907908905","doi":"https://doi.org/10.1109/milcom.2018.8599734","title":"TDDEHT: Threat Detection Using Distributed Ensembles of Hoeffding Trees on Streaming Cyber Datasets","display_name":"TDDEHT: Threat Detection Using Distributed Ensembles of Hoeffding Trees on Streaming Cyber Datasets","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2907908905","doi":"https://doi.org/10.1109/milcom.2018.8599734","mag":"2907908905"},"language":"en","primary_location":{"id":"doi:10.1109/milcom.2018.8599734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom.2018.8599734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2018 - 2018 IEEE Military Communications Conference (MILCOM)","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/A5021253516","display_name":"Asmah Muallem","orcid":null},"institutions":[{"id":"https://openalex.org/I75256744","display_name":"Tennessee State University","ror":"https://ror.org/01fpczx89","country_code":"US","type":"education","lineage":["https://openalex.org/I75256744"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Asmah Muallem","raw_affiliation_strings":["College of Engineering, Tennessee State University, Nashville, Tennessee"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Tennessee State University, Nashville, Tennessee","institution_ids":["https://openalex.org/I75256744"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052787847","display_name":"Sachin Shetty","orcid":"https://orcid.org/0000-0002-8789-0610"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sachin Shetty","raw_affiliation_strings":["Virginia Modeling, Analysis and Simulation Center, Old Dominion University, Norfolk, Virginia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Modeling, Analysis and Simulation Center, Old Dominion University, Norfolk, Virginia","institution_ids":["https://openalex.org/I81365321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101596111","display_name":"Liang Hong","orcid":"https://orcid.org/0000-0001-7854-7215"},"institutions":[{"id":"https://openalex.org/I75256744","display_name":"Tennessee State University","ror":"https://ror.org/01fpczx89","country_code":"US","type":"education","lineage":["https://openalex.org/I75256744"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Hong","raw_affiliation_strings":["College of Engineering, Tennessee State University, Nashville, Tennessee"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Tennessee State University, Nashville, Tennessee","institution_ids":["https://openalex.org/I75256744"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033013560","display_name":"Jan Wei Pan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jan Wei Pan","raw_affiliation_strings":["R&D Engineering Department, Roadstar. AI., California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"R&D Engineering Department, Roadstar. AI., California, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021253516"],"corresponding_institution_ids":["https://openalex.org/I75256744"],"apc_list":null,"apc_paid":null,"fwci":0.9876,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79997652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"25","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":0.9998999834060669,"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":0.9998999834060669,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980000257492065,"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":0.7575480341911316},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6382090449333191},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6072636246681213},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.584761917591095},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.5673673748970032},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.5397605895996094},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.48730790615081787},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4665249288082123},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.45433905720710754},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.41104230284690857},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3758109509944916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.352886438369751},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.2843564748764038},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08720389008522034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7575480341911316},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6382090449333191},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6072636246681213},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.584761917591095},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.5673673748970032},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.5397605895996094},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.48730790615081787},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4665249288082123},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.45433905720710754},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.41104230284690857},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3758109509944916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.352886438369751},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.2843564748764038},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08720389008522034},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/milcom.2018.8599734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom.2018.8599734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2018 - 2018 IEEE Military Communications Conference (MILCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W10715555","https://openalex.org/W1525647652","https://openalex.org/W1585854823","https://openalex.org/W1830453967","https://openalex.org/W1966809779","https://openalex.org/W2000454347","https://openalex.org/W2009727399","https://openalex.org/W2011911693","https://openalex.org/W2068714596","https://openalex.org/W2135335717","https://openalex.org/W2143991132","https://openalex.org/W2287498853","https://openalex.org/W2735171663","https://openalex.org/W2742642850","https://openalex.org/W2765773770","https://openalex.org/W3003253354","https://openalex.org/W4235130247","https://openalex.org/W6635179022"],"related_works":["https://openalex.org/W2981673118","https://openalex.org/W4375817846","https://openalex.org/W2601363847","https://openalex.org/W2759864402","https://openalex.org/W2060628068","https://openalex.org/W2940903377","https://openalex.org/W2761091637","https://openalex.org/W3006639312","https://openalex.org/W3000948009","https://openalex.org/W3093884210"],"abstract_inverted_index":{"The":[0,84],"use":[1],"of":[2,19,75,104],"a":[3,35],"well-known":[4],"state-of-the-art":[5,148],"classifier,":[6],"Hoeffding":[7,78],"Trees,":[8],"is":[9,87],"generally":[10,22],"proposed":[11,42],"in":[12,126,133,138],"data":[13],"stream":[14],"mining":[15],"(DSM)":[16],"approaches.":[17],"Most":[18],"these":[20],"approaches":[21,39,58],"address":[23],"achieving":[24],"improved":[25],"accuracy":[26,139],"when":[27,143],"exceedingly":[28],"complex":[29],"drifts":[30],"are":[31],"present.":[32],"Unfortunately,":[33],"only":[34],"few":[36],"minor":[37],"DSM":[38,149],"have":[40],"been":[41],"for":[43],"anomaly-based":[44],"Intrusion":[45],"Detection":[46],"Systems":[47],"(IDS).":[48],"Despite":[49],"the":[50,102,127,146],"common":[51],"relation":[52],"between":[53],"anomalies":[54],"and":[55,96,117,130,135,140],"concept-drift.":[56],"These":[57],"also":[59],"validate":[60,101],"with":[61],"outdated":[62],"cyber":[63],"datasets.":[64,119],"In":[65],"this":[66],"paper,":[67],"we":[68,107],"propose":[69],"an":[70,88,131],"enhanced":[71],"IDS":[72,98,123],"ensemble":[73],"framework":[74,90],"distributed":[76],"diverse":[77],"Trees":[79],"built":[80],"on":[81],"Spark":[82],"Streaming.":[83],"pivotal":[85],"component":[86],"extensible":[89],"to":[91,145],"include":[92],"additional":[93],"Linear":[94],"Classifiers":[95],"essential":[97],"components.":[99],"To":[100],"efficiency":[103],"our":[105],"approach,":[106],"perform":[108],"several":[109],"experiments":[110],"using":[111],"various":[112],"up-to-date":[113],"real-world,":[114],"synthetic":[115],"cyber-attack":[116],"concept-drift":[118],"Our":[120],"results":[121],"demonstrate":[122],"evaluation":[124],"metrics":[125],"80-90":[128],"percentile":[129],"increase":[132,137],"speed":[134],"marginal":[136],"Kappa":[141],"Statistic,":[142],"compared":[144],"current":[147],"platform,":[150],"MOA.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}