{"id":"https://openalex.org/W4412610594","doi":"https://doi.org/10.1109/hpcc64274.2024.00176","title":"Towards Alarm Reduction in Intrusion Detection: A Recurrent Neural Network Approach","display_name":"Towards Alarm Reduction in Intrusion Detection: A Recurrent Neural Network Approach","publication_year":2024,"publication_date":"2024-12-13","ids":{"openalex":"https://openalex.org/W4412610594","doi":"https://doi.org/10.1109/hpcc64274.2024.00176"},"language":"en","primary_location":{"id":"doi:10.1109/hpcc64274.2024.00176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc64274.2024.00176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5089544272","display_name":"Alexander G\u00f6deke","orcid":null},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Alexander G\u00f6deke","raw_affiliation_strings":["Technical University of Denmark,Department of Applied Mathematics and Computer Science,Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Denmark,Department of Applied Mathematics and Computer Science,Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085755018","display_name":"Weizhi Meng","orcid":"https://orcid.org/0000-0003-4384-5786"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Weizhi Meng","raw_affiliation_strings":["Technical University of Denmark,Department of Applied Mathematics and Computer Science,Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Denmark,Department of Applied Mathematics and Computer Science,Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090481567","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0003-4375-303X"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Guangzhou University,School of Artificial Intelligence,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou University,School of Artificial Intelligence,China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43824909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1314","last_page":"1323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9979000091552734,"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":0.9979000091552734,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.991599977016449,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.991100013256073,"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/alarm","display_name":"ALARM","score":0.7225501537322998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7165908217430115},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6443228125572205},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6422491073608398},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5786781311035156},{"id":"https://openalex.org/keywords/intrusion","display_name":"Intrusion","score":0.49385935068130493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41716712713241577},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4107228219509125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3246610164642334},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09992918372154236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06975063681602478},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0655786395072937}],"concepts":[{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.7225501537322998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7165908217430115},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6443228125572205},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6422491073608398},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5786781311035156},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.49385935068130493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41716712713241577},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4107228219509125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3246610164642334},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09992918372154236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06975063681602478},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0655786395072937},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpcc64274.2024.00176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc64274.2024.00176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.46000000834465027,"display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320328715","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1576154654","https://openalex.org/W2023261822","https://openalex.org/W2024902563","https://openalex.org/W2060392206","https://openalex.org/W2124623839","https://openalex.org/W2144378013","https://openalex.org/W2155926039","https://openalex.org/W2344552164","https://openalex.org/W2344991535","https://openalex.org/W2598684549","https://openalex.org/W2762776925","https://openalex.org/W2765181145","https://openalex.org/W2792698035","https://openalex.org/W2799905159","https://openalex.org/W2808564345","https://openalex.org/W2883701651","https://openalex.org/W2910774907","https://openalex.org/W3046295872","https://openalex.org/W3108639298","https://openalex.org/W3132199788","https://openalex.org/W4292862193","https://openalex.org/W4313591247","https://openalex.org/W4313907692","https://openalex.org/W4324331382","https://openalex.org/W4328028633","https://openalex.org/W4385246573","https://openalex.org/W4386261706","https://openalex.org/W4391304488","https://openalex.org/W4392122558","https://openalex.org/W4399332508","https://openalex.org/W6772070325"],"related_works":["https://openalex.org/W2731305060","https://openalex.org/W4225394202","https://openalex.org/W2372003537","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W2732807254","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W2133389611"],"abstract_inverted_index":{"Intrusion":[0],"detection":[1],"systems":[2,11],"(IDSs)":[3],"are":[4],"one":[5,65],"of":[6,19,25],"the":[7,22,68,75,124,152],"most":[8,60],"commonly":[9],"deployed":[10],"to":[12,45,115,147],"detect":[13],"cyber":[14],"attacks.":[15],"One":[16],"major":[17],"problem":[18],"IDSs":[20],"is":[21,53,72],"large":[23],"amount":[24],"false":[26,29,48,97,117,149],"alarms":[27,150],"(or":[28],"positives)":[30],"generated":[31],"in":[32,56,67,88,151],"a":[33,93,103,110],"practical":[34],"network.":[35],"In":[36],"recent":[37,57],"decades,":[38],"many":[39],"researchers":[40],"utilized":[41],"machine":[42],"learning":[43,52],"techniques":[44],"help":[46],"reduce":[47,116,145],"alarms,":[49],"i.e.,":[50],"deep":[51,95],"quite":[54],"popular":[55],"years.":[58],"However,":[59],"research":[61],"studies":[62],"mainly":[63],"consider":[64,127],"dataset":[66],"evaluation,":[69],"and":[70,109,136],"it":[71],"unclear":[73],"whether":[74],"approach":[76,143],"can":[77,144],"be":[78],"scalable":[79],"for":[80,119],"other":[81],"network":[82,107],"settings.":[83],"Motivated":[84],"by":[85,101],"such":[86,132],"challenges,":[87],"this":[89],"work,":[90],"we":[91,126],"introduce":[92],"hybrid":[94],"learning-based":[96],"alarm":[98],"filtration":[99],"method,":[100],"combining":[102],"modern":[104],"recurrent":[105],"neural":[106],"(RNN)":[108],"concise":[111],"alert":[112],"correlation":[113],"method":[114],"positives":[118],"an":[120],"IDS.":[121],"To":[122],"evaluate":[123],"performance,":[125],"three":[128],"publicly":[129],"available":[130],"datasets":[131],"as":[133],"DARPA,":[134],"UNSW-NB":[135],"CSE-CIC-IDS.":[137],"Experimental":[138],"results":[139],"demonstrate":[140],"that":[141],"our":[142],"up":[146],"99.35%":[148],"best":[153],"case.":[154]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
