{"id":"https://openalex.org/W4385488530","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191496","title":"Improving Siamese Neural Networks with Border Extraction Sampling for the use in Real-Time Network Intrusion Detection","display_name":"Improving Siamese Neural Networks with Border Extraction Sampling for the use in Real-Time Network Intrusion Detection","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385488530","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191496"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","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/A5088536972","display_name":"Marek Pawlicki","orcid":"https://orcid.org/0000-0001-5881-6406"},"institutions":[{"id":"https://openalex.org/I1300393620","display_name":"Bydgoszcz University of Science and Technology","ror":"https://ror.org/049eq0c58","country_code":"PL","type":"education","lineage":["https://openalex.org/I1300393620"]},{"id":"https://openalex.org/I4210118437","display_name":"Instytut Technik Telekomunikacyjnych i Informatycznych (Poland)","ror":"https://ror.org/02r65gs06","country_code":"PL","type":"company","lineage":["https://openalex.org/I4210118437"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Marek Pawlicki","raw_affiliation_strings":["ITTI Sp. z o.o.,Pozna&#x0144;,Poland","Bydgoszcz University of Science and Technology, Bydgoszcz, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITTI Sp. z o.o.,Pozna&#x0144;,Poland","institution_ids":["https://openalex.org/I4210118437"]},{"raw_affiliation_string":"Bydgoszcz University of Science and Technology, Bydgoszcz, Poland","institution_ids":["https://openalex.org/I1300393620","https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042632349","display_name":"Rafa\u0142 Kozik","orcid":"https://orcid.org/0000-0001-7122-3306"},"institutions":[{"id":"https://openalex.org/I1300393620","display_name":"Bydgoszcz University of Science and Technology","ror":"https://ror.org/049eq0c58","country_code":"PL","type":"education","lineage":["https://openalex.org/I1300393620"]},{"id":"https://openalex.org/I4210118437","display_name":"Instytut Technik Telekomunikacyjnych i Informatycznych (Poland)","ror":"https://ror.org/02r65gs06","country_code":"PL","type":"company","lineage":["https://openalex.org/I4210118437"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Rafa\u0142 Kozik","raw_affiliation_strings":["ITTI Sp. z o.o.,Pozna&#x0144;,Poland","Bydgoszcz University of Science and Technology, Bydgoszcz, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITTI Sp. z o.o.,Pozna&#x0144;,Poland","institution_ids":["https://openalex.org/I4210118437"]},{"raw_affiliation_string":"Bydgoszcz University of Science and Technology, Bydgoszcz, Poland","institution_ids":["https://openalex.org/I1300393620","https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009283476","display_name":"Micha\u0142 Chora\u015b","orcid":"https://orcid.org/0000-0003-1405-9911"},"institutions":[{"id":"https://openalex.org/I1300393620","display_name":"Bydgoszcz University of Science and Technology","ror":"https://ror.org/049eq0c58","country_code":"PL","type":"education","lineage":["https://openalex.org/I1300393620"]},{"id":"https://openalex.org/I4210118437","display_name":"Instytut Technik Telekomunikacyjnych i Informatycznych (Poland)","ror":"https://ror.org/02r65gs06","country_code":"PL","type":"company","lineage":["https://openalex.org/I4210118437"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Micha\u0142 Chora\u015b","raw_affiliation_strings":["ITTI Sp. z o.o.,Pozna&#x0144;,Poland","Bydgoszcz University of Science and Technology, Bydgoszcz, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITTI Sp. z o.o.,Pozna&#x0144;,Poland","institution_ids":["https://openalex.org/I4210118437"]},{"raw_affiliation_string":"Bydgoszcz University of Science and Technology, Bydgoszcz, Poland","institution_ids":["https://openalex.org/I1300393620","https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9945999979972839,"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/intrusion-detection-system","display_name":"Intrusion detection system","score":0.8059679865837097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7503980994224548},{"id":"https://openalex.org/keywords/netflow","display_name":"NetFlow","score":0.5865168571472168},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5683671236038208},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.49796295166015625},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.4534209072589874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4164765477180481},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.41469770669937134},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.35183441638946533},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33037057518959045},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32036393880844116}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.8059679865837097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503980994224548},{"id":"https://openalex.org/C188067584","wikidata":"https://www.wikidata.org/wiki/Q219363","display_name":"NetFlow","level":2,"score":0.5865168571472168},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5683671236038208},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.49796295166015625},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.4534209072589874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4164765477180481},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.41469770669937134},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.35183441638946533},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33037057518959045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32036393880844116},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6499999761581421,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1495350986","https://openalex.org/W1866072925","https://openalex.org/W1968519345","https://openalex.org/W2020640962","https://openalex.org/W2053550965","https://openalex.org/W2101234009","https://openalex.org/W2105670334","https://openalex.org/W2115733720","https://openalex.org/W2138621090","https://openalex.org/W2153581485","https://openalex.org/W2620580412","https://openalex.org/W2781985818","https://openalex.org/W2789828921","https://openalex.org/W2896584247","https://openalex.org/W2902834302","https://openalex.org/W2963341924","https://openalex.org/W2992161509","https://openalex.org/W2994886077","https://openalex.org/W3017943350","https://openalex.org/W3030941702","https://openalex.org/W3037378637","https://openalex.org/W3080427797","https://openalex.org/W3080759852","https://openalex.org/W3091810623","https://openalex.org/W3091905774","https://openalex.org/W3093282011","https://openalex.org/W3093725613","https://openalex.org/W3102359135","https://openalex.org/W3106506544","https://openalex.org/W3120795858","https://openalex.org/W3142930122","https://openalex.org/W3149693612","https://openalex.org/W3162493711","https://openalex.org/W3190214286","https://openalex.org/W3199583892","https://openalex.org/W4281987354","https://openalex.org/W4291743636","https://openalex.org/W4312578829","https://openalex.org/W6639331287","https://openalex.org/W6675354045","https://openalex.org/W6717697761","https://openalex.org/W6747760394","https://openalex.org/W6780087702","https://openalex.org/W6783596713","https://openalex.org/W6785833892"],"related_works":["https://openalex.org/W2134539183","https://openalex.org/W2359209543","https://openalex.org/W2370801098","https://openalex.org/W2380475535","https://openalex.org/W2377112249","https://openalex.org/W4320027669","https://openalex.org/W3199479007","https://openalex.org/W2611702147","https://openalex.org/W4289655086","https://openalex.org/W2068608815"],"abstract_inverted_index":{"Society":[0],"reaps":[1],"the":[2,8,17,37,40,43,65,133,140,153,156,159,165,174,180],"benefits":[3],"of":[4,10,39,70,113,155,179],"networking":[5],"technologies,":[6],"with":[7,64],"number":[9],"connected":[11,25],"citizens":[12],"and":[13,21,32,158,184],"devices":[14],"constantly":[15],"on":[16],"rise.":[18],"The":[19,84,128,177],"convenience":[20],"efficiency":[22],"brought":[23],"by":[24],"technologies":[26],"are":[27,51,182],"adopted":[28],"in":[29,59,91,105],"normal":[30],"households":[31],"industrial":[33],"plants":[34],"alike.":[35],"As":[36],"proliferation":[38],"technology":[41],"expands,":[42],"incentives":[44],"for":[45],"malicious":[46],"users":[47],"to":[48,135,172],"cause":[49],"mischief":[50],"also":[52],"getting":[53],"stronger.":[54],"This":[55,108],"causes":[56],"an":[57,114],"influx":[58],"cyber":[60],"incidents.":[61],"To":[62],"deal":[63],"rising":[66],"cyberthreats,":[67],"a":[68,111,121,125],"suite":[69],"defensive":[71],"methods":[72],"has":[73],"been":[74],"proposed.":[75],"One":[76],"prominent":[77],"example":[78],"is":[79],"network":[80,86,116,123,142],"intrusion":[81,87,117,138],"detection":[82,88,118],"systems.":[83],"Machine-Learning-based":[85],"systems":[89],"utilised":[90],"critical":[92],"infrastructure":[93],"or":[94],"soft":[95],"target":[96],"protection":[97],"offer":[98],"many":[99],"benefits,":[100],"but":[101],"still,":[102],"need":[103],"improvements":[104],"numerous":[106],"areas.":[107],"paper":[109],"contains":[110],"proposition":[112],"improved":[115],"system":[119,134],"featuring":[120],"Siamese":[122,141,175],"as":[124],"few-shot":[126],"learner.":[127],"used":[129,151,160],"NetFlow":[130],"features":[131],"allow":[132],"perform":[136],"real-time":[137],"detection,":[139],"allows":[143,163],"spotting":[144],"attacks":[145],"from":[146],"classes":[147],"that":[148],"were":[149],"not":[150],"during":[152],"training":[154],"network,":[157],"sampling":[161],"method":[162],"circumventing":[164],"over-counting":[166],"problem":[167],"when":[168],"formulating":[169],"sample":[170],"pairs":[171],"train":[173],"networks.":[176],"results":[178],"research":[181],"presented":[183],"show":[185],"promise.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
