{"id":"https://openalex.org/W2887112074","doi":"https://doi.org/10.1145/3234200.3234246","title":"Adaptive Network Security through Stream Machine Learning","display_name":"Adaptive Network Security through Stream Machine Learning","publication_year":2018,"publication_date":"2018-08-07","ids":{"openalex":"https://openalex.org/W2887112074","doi":"https://doi.org/10.1145/3234200.3234246","mag":"2887112074"},"language":"en","primary_location":{"id":"doi:10.1145/3234200.3234246","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3234200.3234246","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3234200.3234246","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3234200.3234246","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089835284","display_name":"Pavol Mulinka","orcid":"https://orcid.org/0000-0002-9394-8794"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]},{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT","CZ"],"is_corresponding":true,"raw_author_name":"Pavol Mulinka","raw_affiliation_strings":["CTU Czech Technical University in Prague, AIT Austrian Institute of Technology"],"affiliations":[{"raw_affiliation_string":"CTU Czech Technical University in Prague, AIT Austrian Institute of Technology","institution_ids":["https://openalex.org/I132118926","https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081556750","display_name":"Pedro Casas","orcid":"https://orcid.org/0000-0002-0951-2331"},"institutions":[{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Pedro Casas","raw_affiliation_strings":["AIT Austrian Institute of Technology"],"affiliations":[{"raw_affiliation_string":"AIT Austrian Institute of Technology","institution_ids":["https://openalex.org/I132118926"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089835284"],"corresponding_institution_ids":["https://openalex.org/I132118926","https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":0.1692,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60089701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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":0.9828000068664551,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.98089998960495,"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":0.8057730197906494},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.7280169725418091},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.7163715362548828},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.6954638957977295},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.6875351071357727},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.45201194286346436},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4344812035560608},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4329802691936493},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.4216211438179016},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"Adaptive learning","score":0.41676652431488037},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.3713621497154236},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33085471391677856},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23141062259674072},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07900106906890869}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8057730197906494},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.7280169725418091},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.7163715362548828},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.6954638957977295},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.6875351071357727},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.45201194286346436},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4344812035560608},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4329802691936493},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.4216211438179016},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.41676652431488037},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.3713621497154236},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33085471391677856},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23141062259674072},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07900106906890869},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3234200.3234246","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3234200.3234246","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3234200.3234246","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos","raw_type":"proceedings-article"},{"id":"mag:3204200469","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002253320115145","pdf_url":null,"source":{"id":"https://openalex.org/S4306500161","display_name":"ACM Proceedings","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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"ACM Proceedings","raw_type":null}],"best_oa_location":{"id":"doi:10.1145/3234200.3234246","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3234200.3234246","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3234200.3234246","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G8762189206","display_name":null,"funder_award_id":"ICT15-129","funder_id":"https://openalex.org/F4320321003","funder_display_name":"Vienna Science and Technology Fund"},{"id":"https://openalex.org/G8970115871","display_name":null,"funder_award_id":"Big-DAMA (WWTF-ICT15-129)","funder_id":"https://openalex.org/F4320321003","funder_display_name":"Vienna Science and Technology Fund"}],"funders":[{"id":"https://openalex.org/F4320321003","display_name":"Vienna Science and Technology Fund","ror":"https://ror.org/01f9mc681"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2887112074.pdf","grobid_xml":"https://content.openalex.org/works/W2887112074.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W1992019053","https://openalex.org/W2040333627","https://openalex.org/W2143991132","https://openalex.org/W6680901108"],"related_works":["https://openalex.org/W127192698","https://openalex.org/W4307392573","https://openalex.org/W2802243998","https://openalex.org/W2736127210","https://openalex.org/W2360131081","https://openalex.org/W1572762191","https://openalex.org/W3207785250","https://openalex.org/W2329342202","https://openalex.org/W2574092225","https://openalex.org/W2161835057"],"abstract_inverted_index":{"Stream":[0],"Machine":[1],"Learning":[2],"is":[3],"rapidly":[4],"gaining":[5],"popularity":[6],"within":[7],"the":[8,13,25,48,78],"network":[9,18,40,53,80],"monitoring":[10,30],"community":[11],"as":[12],"big":[14],"data":[15,54,81],"produced":[16],"by":[17,83],"devices":[19],"and":[20],"end-user":[21],"terminals":[22],"goes":[23],"beyond":[24],"memory":[26],"constraints":[27],"of":[28,50],"standard":[29],"equipment.":[31],"We":[32],"consider":[33],"a":[34,57],"stream-based":[35],"machine":[36,44],"learning":[37,45],"approach":[38],"to":[39,70],"security,":[41],"conceiving":[42],"adaptive":[43,64],"algorithms":[46],"for":[47],"analysis":[49],"continuously":[51],"evolving":[52],"streams.":[55],"Using":[56],"sliding-window":[58],"adaptive-size":[59],"approach,":[60],"we":[61],"show":[62],"that":[63],"random":[65],"forests":[66],"models":[67],"are":[68],"able":[69],"keep":[71],"up":[72],"with":[73,87],"important":[74],"concept":[75,91],"drifts":[76],"in":[77],"underlying":[79],"streams,":[82],"keeping":[84],"high":[85],"accuracy":[86],"continuous":[88],"re-training":[89],"at":[90],"drift":[92],"detection":[93],"times.":[94]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
