{"id":"https://openalex.org/W4292261289","doi":"https://doi.org/10.1109/access.2022.3199375","title":"Flexible and Robust Real-Time Intrusion Detection Systems to Network Dynamics","display_name":"Flexible and Robust Real-Time Intrusion Detection Systems to Network Dynamics","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4292261289","doi":"https://doi.org/10.1109/access.2022.3199375"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3199375","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3199375","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09858115.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09858115.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066022213","display_name":"Kicho Yu","orcid":"https://orcid.org/0000-0002-0605-278X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kicho Yu","raw_affiliation_strings":["Khoury College of Computer Science, Northeastern University, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-0605-278X","affiliations":[{"raw_affiliation_string":"Khoury College of Computer Science, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101639120","display_name":"Khanh Nguyen","orcid":"https://orcid.org/0000-0002-0684-9406"},"institutions":[{"id":"https://openalex.org/I51504820","display_name":"San Jose State University","ror":"https://ror.org/04qyvz380","country_code":"US","type":"education","lineage":["https://openalex.org/I51504820"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khanh Nguyen","raw_affiliation_strings":["College of Engineering, San José State University, San Jose, CA, USA","College of Engineering, San Jos&#x00E9"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, San José State University, San Jose, CA, USA","institution_ids":["https://openalex.org/I51504820"]},{"raw_affiliation_string":"College of Engineering, San Jos&#x00E9","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101477975","display_name":"Younghee Park","orcid":"https://orcid.org/0000-0003-0651-2384"},"institutions":[{"id":"https://openalex.org/I51504820","display_name":"San Jose State University","ror":"https://ror.org/04qyvz380","country_code":"US","type":"education","lineage":["https://openalex.org/I51504820"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Younghee Park","raw_affiliation_strings":["College of Engineering, San José State University, San Jose, CA, USA","College of Engineering, San Jos&#x00E9"],"raw_orcid":"https://orcid.org/0000-0003-0651-2384","affiliations":[{"raw_affiliation_string":"College of Engineering, San José State University, San Jose, CA, USA","institution_ids":["https://openalex.org/I51504820"]},{"raw_affiliation_string":"College of Engineering, San Jos&#x00E9","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.7047,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.83979749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"98959","last_page":"98969"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9983000159263611,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.6725518107414246},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.6062084436416626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5852928161621094},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3854431211948395},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3260612189769745},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05700010061264038}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6725518107414246},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.6062084436416626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5852928161621094},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3854431211948395},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3260612189769745},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05700010061264038},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2022.3199375","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3199375","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09858115.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:scholarworks.sjsu.edu:faculty_rsca-4075","is_oa":true,"landing_page_url":"https://scholarworks.sjsu.edu/faculty_rsca/3076","pdf_url":null,"source":{"id":"https://openalex.org/S4377196389","display_name":"San Jos\u00e9 State University ScholarWorks (San Jose State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51504820","host_organization_name":"San Jose State University","host_organization_lineage":["https://openalex.org/I51504820"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Research, Scholarly, and Creative Activity","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:db67ecf75b3f482586b05daa34bd8711","is_oa":true,"landing_page_url":"https://doaj.org/article/db67ecf75b3f482586b05daa34bd8711","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 98959-98969 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3199375","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3199375","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09858115.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4292261289.pdf","grobid_xml":"https://content.openalex.org/works/W4292261289.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2111160323","https://openalex.org/W2124623839","https://openalex.org/W2206700814","https://openalex.org/W2246669293","https://openalex.org/W2296509296","https://openalex.org/W2336386743","https://openalex.org/W2337536012","https://openalex.org/W2346714907","https://openalex.org/W2497545232","https://openalex.org/W2531448500","https://openalex.org/W2564619343","https://openalex.org/W2625013748","https://openalex.org/W2736668610","https://openalex.org/W2746495981","https://openalex.org/W2755370532","https://openalex.org/W2755605905","https://openalex.org/W2768211408","https://openalex.org/W2772317693","https://openalex.org/W2772356386","https://openalex.org/W2779598397","https://openalex.org/W2783047817","https://openalex.org/W2787894218","https://openalex.org/W2790117078","https://openalex.org/W2797283471","https://openalex.org/W2799941355","https://openalex.org/W2840169530","https://openalex.org/W2867534720","https://openalex.org/W2886533716","https://openalex.org/W2905396420","https://openalex.org/W2911964244","https://openalex.org/W2913488583","https://openalex.org/W2928842143","https://openalex.org/W2942231644","https://openalex.org/W2969863169","https://openalex.org/W2980576170","https://openalex.org/W3147088034","https://openalex.org/W6744391945","https://openalex.org/W6745040976","https://openalex.org/W6749973653","https://openalex.org/W6758101687","https://openalex.org/W6758947735"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2364419519","https://openalex.org/W2360767377","https://openalex.org/W2017948608","https://openalex.org/W2360951146"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"intrusion":[2,24],"detection":[3,25,91],"systems":[4],"have":[5,51],"advanced":[6],"due":[7],"to":[8,19,53,63,88,116],"their":[9],"technological":[10],"innovations":[11],"such":[12],"as":[13,113],"high":[14,142],"accuracy,":[15],"automation,":[16],"and":[17,76,99,144],"scalability,":[18],"develop":[20],"an":[21,154],"effective":[22],"network":[23,61,66,138],"system":[26,97,107,131,136],"(NIDS).":[27],"However,":[28],"most":[29],"of":[30,42,46],"the":[31,55,102,119,126,129,134],"previous":[32,56],"research":[33],"has":[34],"focused":[35],"on":[36,80],"model":[37,92,104,146],"generation":[38],"through":[39],"intensive":[40],"analysis":[41],"feature":[43],"engineering":[44],"instead":[45],"considering":[47],"real":[48,60],"environments.":[49],"They":[50],"limitations":[52],"applying":[54],"methods":[57],"for":[58],"a":[59,73,86,90,141],"environment":[62],"detect":[64],"real-time":[65,149],"attacks.":[67],"In":[68,125],"this":[69],"paper,":[70],"we":[71],"propose":[72],"new":[74],"flexible":[75],"robust":[77],"NIDS":[78],"based":[79],"Recurrent":[81],"Neural":[82],"Network":[83],"(RNN)":[84],"with":[85,105,140],"multi-classifier":[87],"general":[89],"in":[93,123,148],"real-time.":[94,124],"The":[95],"proposed":[96,130,135],"adaptively":[98],"intelligently":[100],"adjusts":[101],"generated":[103],"given":[106],"parameters":[108,115],"that":[109,133],"can":[110],"be":[111],"used":[112],"security":[114],"defend":[117],"against":[118],"attacker’s":[120],"obfuscation":[121],"techniques":[122],"experimental":[127],"results,":[128],"demonstrated":[132],"detects":[137],"attacks":[139],"accuracy":[143],"high-speed":[145],"upgrade":[147],"while":[150],"showing":[151],"robustness":[152],"under":[153],"attack.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}