{"id":"https://openalex.org/W4393067837","doi":"https://doi.org/10.3233/kes-230407","title":"Research on neural networks in computer network security evaluation and prediction methods","display_name":"Research on neural networks in computer network security evaluation and prediction methods","publication_year":2024,"publication_date":"2024-03-22","ids":{"openalex":"https://openalex.org/W4393067837","doi":"https://doi.org/10.3233/kes-230407"},"language":"en","primary_location":{"id":"doi:10.3233/kes-230407","is_oa":false,"landing_page_url":"https://doi.org/10.3233/kes-230407","pdf_url":null,"source":{"id":"https://openalex.org/S133764092","display_name":"International Journal of Knowledge-based and Intelligent Engineering Systems","issn_l":"1327-2314","issn":["1327-2314","1875-8827"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge-based and Intelligent Engineering Systems","raw_type":"journal-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":null,"display_name":"Hanyu Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142167","display_name":"DigitalSpace (United States)","ror":"https://ror.org/04h1th525","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142167"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanyu Wei","raw_affiliation_strings":["College of Cyberspace Security,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Cyberspace Security,","institution_ids":["https://openalex.org/I4210142167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700872","display_name":"Xu Zhao","orcid":"https://orcid.org/0000-0002-9967-3824"},"institutions":[{"id":"https://openalex.org/I4210142167","display_name":"DigitalSpace (United States)","ror":"https://ror.org/04h1th525","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142167"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xu Zhao","raw_affiliation_strings":["College of Cyberspace Security,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Cyberspace Security,","institution_ids":["https://openalex.org/I4210142167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111134513","display_name":"Baolan Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baolan Shi","raw_affiliation_strings":["College of Engineering and Applied Science, University of Colorado Boulder, Boulder, Colorado, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Applied Science, University of Colorado Boulder, Boulder, Colorado, USA","institution_ids":["https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100700872"],"corresponding_institution_ids":["https://openalex.org/I4210142167"],"apc_list":null,"apc_paid":null,"fwci":0.8523,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72238323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"28","issue":"3","first_page":"497","last_page":"516"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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":0.9998000264167786,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.9700999855995178,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6929048299789429},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6818478107452393},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.45172518491744995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44030874967575073},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36700439453125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3432942032814026},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.28714820742607117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6929048299789429},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6818478107452393},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.45172518491744995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44030874967575073},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36700439453125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3432942032814026},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.28714820742607117}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/kes-230407","is_oa":false,"landing_page_url":"https://doi.org/10.3233/kes-230407","pdf_url":null,"source":{"id":"https://openalex.org/S133764092","display_name":"International Journal of Knowledge-based and Intelligent Engineering Systems","issn_l":"1327-2314","issn":["1327-2314","1875-8827"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge-based and Intelligent Engineering Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W3111552575","https://openalex.org/W3199463189","https://openalex.org/W4206074507","https://openalex.org/W4214670510","https://openalex.org/W4221080751","https://openalex.org/W4226548794","https://openalex.org/W4281385662","https://openalex.org/W4283278008","https://openalex.org/W4283749421","https://openalex.org/W4292375904","https://openalex.org/W4294761398","https://openalex.org/W4304817003","https://openalex.org/W4309724303","https://openalex.org/W4309756669","https://openalex.org/W4312204616","https://openalex.org/W4313442710","https://openalex.org/W4320152574","https://openalex.org/W4320525711","https://openalex.org/W4362510084","https://openalex.org/W4362728693","https://openalex.org/W4380684245","https://openalex.org/W4381745588","https://openalex.org/W4382793227","https://openalex.org/W4385695088","https://openalex.org/W4385712429","https://openalex.org/W4386474884","https://openalex.org/W4386487243","https://openalex.org/W4394062515","https://openalex.org/W4399450585","https://openalex.org/W6809002207","https://openalex.org/W6841348820","https://openalex.org/W6842493548"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,55,163,197],"in":[2,15,69],"networks":[3],"to":[4,28,107,218],"identify":[5],"intrusions":[6],"is":[7,105],"a":[8,139,190,196,205],"common":[9],"and":[10,33,41,60,76,93,116,137,164,174,210],"successful":[11],"security":[12,171,213],"measure":[13],"used":[14],"many":[16],"different":[17],"types":[18],"of":[19,31,36,48,72,152,159,194,199,203,208,215],"network":[20,39,91,120],"infrastructure.":[21],"Network":[22,142],"data":[23],"traffic":[24,74,114],"has":[25],"increased":[26],"due":[27],"the":[29,70,109,118,149,168,175,187],"proliferation":[30],"viruses":[32],"other":[34,219],"forms":[35],"cyber-attacks":[37],"as":[38,53],"technology":[40],"applications":[42],"have":[43],"developed":[44],"quickly.":[45],"The":[46,124,144,162,183],"limitations":[47],"classical":[49],"intrusion":[50],"detection,":[51],"such":[52,160],"poor":[54],"accuracy,":[56],"high":[57,191],"false":[58],"negatives,":[59],"dependence":[61],"on":[62],"dimensionality":[63],"reduction":[64],"methods,":[65],"become":[66],"more":[67],"apparent":[68],"face":[71],"massive":[73],"volumes":[75],"characteristic":[77],"information.":[78],"That\u2019s":[79],"why":[80],"IoT":[81],"infrastructures":[82],"often":[83],"use":[84],"Software-Defined":[85],"Networking":[86],"(SDN),":[87],"allowing":[88,155],"for":[89,156],"better":[90],"adaptability":[92],"control.":[94],"Hence,":[95],"this":[96],"paper\u2019s":[97],"convolutional":[98],"neural":[99],"network-based":[100],"Security":[101],"Evaluation":[102],"Model":[103],"(CNN-SEM)":[104],"proposed":[106,125,169],"secure":[108],"source":[110,119],"SDN":[111,170],"controller":[112],"from":[113,121],"degradation":[115],"protect":[117],"DDoS":[122,131,181],"assaults.":[123,182],"CNN-SEM":[126,188],"system":[127],"might":[128],"defend":[129],"against":[130,179],"assaults":[132],"once":[133],"discovered":[134],"by":[135],"applying":[136],"testing":[138],"Convolutional":[140],"Neural":[141],"(CNN).":[143],"model":[145],"can":[146],"automatically":[147],"extract":[148],"useful":[150],"aspects":[151],"incursion":[153],"samples,":[154],"precise":[157],"classification":[158],"data.":[161],"mitigation":[165],"modules":[166],"evaluate":[167],"system\u2019s":[172],"performance,":[173],"findings":[176],"showed":[177],"promise":[178],"next-generation":[180],"experimental":[184],"results":[185],"show":[186],"achieves":[189],"accuracy":[192],"ratio":[193,198,202,207],"96.6%,":[195],"97.1%,":[200],"precision":[201],"97.2%,":[204],"performance":[206],"95.1%":[209],"an":[211],"enhanced":[212],"rate":[214],"98.1%":[216],"compared":[217],"methods.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
