{"id":"https://openalex.org/W4410325410","doi":"https://doi.org/10.1142/s0218126625503621","title":"Securing 5G Networks: An Anomaly Detection System Empowered by Bidirectional 3D Quasi-Recurrent Neural Network","display_name":"Securing 5G Networks: An Anomaly Detection System Empowered by Bidirectional 3D Quasi-Recurrent Neural Network","publication_year":2025,"publication_date":"2025-05-13","ids":{"openalex":"https://openalex.org/W4410325410","doi":"https://doi.org/10.1142/s0218126625503621"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126625503621","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625503621","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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":"https://openalex.org/A5034924703","display_name":"S. Kamalakannan","orcid":"https://orcid.org/0009-0000-2205-1579"},"institutions":[{"id":"https://openalex.org/I4210095238","display_name":"KG Hospital","ror":"https://ror.org/00qe7ms27","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I4210095238"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Kamalakannan","raw_affiliation_strings":["Department of Electronics and Communication Engineering, KGiSL Institute of Technology, Coimbatore, India"],"raw_orcid":"https://orcid.org/0009-0000-2205-1579","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, KGiSL Institute of Technology, Coimbatore, India","institution_ids":["https://openalex.org/I4210095238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101442115","display_name":"V. Saravanan","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Saravanan","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Institute of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 602105, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Institute of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 602105, Tamil Nadu, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043716136","display_name":"B. Maruthi Shankar","orcid":"https://orcid.org/0000-0001-6536-2975"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B.\u00a0Maruthi Shankar","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409306","display_name":"Neeraj Kumar","orcid":"https://orcid.org/0000-0002-3020-3947"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N.\u00a0Sathish Kumar","raw_affiliation_strings":["Department of Biomedical Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.792,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90479923,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"35","issue":"01","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9283999800682068,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9283999800682068,"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/computer-science","display_name":"Computer science","score":0.6011127829551697},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5602697730064392},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.550743043422699},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.35975396633148193},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.348679780960083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31586581468582153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6011127829551697},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5602697730064392},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.550743043422699},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.35975396633148193},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.348679780960083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31586581468582153}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126625503621","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625503621","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W3009354171","https://openalex.org/W3017174021","https://openalex.org/W3093545357","https://openalex.org/W3119665018","https://openalex.org/W3128204528","https://openalex.org/W3133487341","https://openalex.org/W3154206045","https://openalex.org/W3163103052","https://openalex.org/W3178367256","https://openalex.org/W3184281957","https://openalex.org/W3192770481","https://openalex.org/W3200339141","https://openalex.org/W3203932036","https://openalex.org/W4205519795","https://openalex.org/W4221004701","https://openalex.org/W4224258320","https://openalex.org/W4226341790","https://openalex.org/W4282960074","https://openalex.org/W4285813938","https://openalex.org/W4287888488","https://openalex.org/W4293056528","https://openalex.org/W4296699623","https://openalex.org/W4297312142","https://openalex.org/W4307904523","https://openalex.org/W4313423370","https://openalex.org/W4321486710","https://openalex.org/W4353110502","https://openalex.org/W4379534373","https://openalex.org/W4379646790","https://openalex.org/W4386552795"],"related_works":["https://openalex.org/W2105642232","https://openalex.org/W3207332793","https://openalex.org/W3197833032","https://openalex.org/W4386081464","https://openalex.org/W2499612753","https://openalex.org/W3113278055","https://openalex.org/W2750709484","https://openalex.org/W4296474495","https://openalex.org/W4388937474","https://openalex.org/W4408666830"],"abstract_inverted_index":{"An":[0],"intrusion":[1],"detection":[2,71,86],"system":[3,87,305],"(IDS)":[4],"with":[5,196,322],"powerful":[6],"capabilities":[7],"that":[8,33],"the":[9,59,116,123,132,159,166,171,180,189,204,211,255,316],"existing":[10],"conventional":[11],"systems":[12],"are":[13,40,73,109,251],"unable":[14],"to":[15,25,45,111,121,179,194,209,213,253,302],"sufficiently":[16],"supply":[17],"is":[18,101,119,129,156,235],"required":[19],"from":[20,35],"a":[21,66,91,174,197,304],"security":[22,275],"perspective,":[23],"according":[24],"studies":[26],"of":[27,154,173,192,280],"compromised":[28],"ultra-densified":[29],"ubiquitous":[30],"wireless":[31,37,55],"networks":[32,52,100,312,318],"resulted":[34],"6G":[36],"communications.":[38],"IDSs":[39],"still":[41],"not":[42],"strong":[43],"enough":[44],"fend":[46],"against":[47,51],"persistent,":[48],"unexpected":[49],"attacks":[50],"used":[53],"for":[54,97,306],"communication,":[56],"particularly":[57],"on":[58,131,310],"more":[60],"recent,":[61],"extremely":[62],"susceptible":[63],"networks.":[64],"As":[65],"result,":[67],"their":[68,76],"accuracy":[69,269],"and":[70,75,78,145,230,239,249,265,277,283,297,314],"rates":[72],"low,":[74],"false-positive":[77],"false-negative":[79],"cases.":[80],"In":[81,163,202],"this":[82,164],"paper,":[83],"an":[84,287,320],"anomaly":[85],"(ADS)":[88],"empowered":[89],"by":[90,273],"bidirectional":[92],"3D":[93],"quasi-recurrent":[94],"neural":[95],"network":[96],"securing":[98,267],"5G":[99,282,311],"proposed":[102,105,260],"(5G-ADS-Bi-3DQRNN).":[103],"The":[104,136,151,232,259],"framework\u2019s":[106],"various":[107],"stages":[108],"intended":[110],"locate":[112],"anomalies.":[113],"At":[114],"first,":[115],"CIC_IDS2017":[117],"dataset":[118],"utilized":[120,252],"assemble":[122],"information":[124],"network.":[125],"After":[126],"that,":[127],"preprocessing":[128,137],"performed":[130],"network-sourced":[133],"input":[134],"data.":[135],"stage":[138],"comprises":[139],"three":[140],"primary":[141],"stages:":[142],"transformation,":[143],"filtration":[144],"standardization":[146],"using":[147,319],"min-max":[148],"normalization":[149],"(MMN).":[150],"best":[152],"arrangement":[153],"features":[155,168,208],"chosen":[157],"utilizing":[158,286],"suggested":[160],"A-CEWT":[161,193],"strategy.":[162],"manner,":[165],"picked":[167],"go":[169],"through":[170],"utilization":[172],"modern":[175],"enhancement":[176],"strategy,":[177],"similar":[178],"improved":[181],"red":[182],"panda":[183],"optimization":[184],"algorithm":[185],"(IRPOA),":[186],"which":[187],"changes":[188],"weight":[190],"boundary":[191],"work":[195],"compelling":[198],"element":[199],"streamlining":[200],"technique.":[201],"conclusion,":[203],"framework":[205],"utilizes":[206],"updated":[207],"utilize":[210],"Bi-3DQRNN":[212],"recognize":[214],"attack":[215,229],"types":[216],"such":[217],"as":[218],"DDoS,":[219],"savage":[220],"power,":[221],"XSS,":[222],"SQL":[223],"infusion,":[224],"penetration,":[225],"port":[226],"sweep,":[227],"botnet":[228],"normal.":[231],"recommended":[233],"approach":[234],"done":[236],"in":[237],"Python,":[238],"basic":[240],"assessment":[241],"measurements":[242],"like":[243],"F-measure,":[244],"MSE,":[245],"accuracy,":[246],"sensitivity,":[247],"specificity":[248],"precision":[250],"assess":[254],"strategy\u2019s":[256],"exhibition":[257],"completely.":[258],"method":[261],"attains":[262],"21.83%,":[263],"26.46%":[264],"30.84%":[266],"superior":[268],"over":[270],"current":[271],"methods":[272],"boosting":[274],"controls":[276],"making":[278],"use":[279],"cutting-edge":[281],"future":[284],"networks,":[285],"innovative":[288],"deep":[289,294],"reinforcement":[290],"learning":[291,295,299],"technique":[292],"(5G-ADS-DRL),":[293],"(DL)":[296],"machine":[298],"(ML)":[300],"techniques":[301],"create":[303],"identifying":[307],"dropping":[308],"threats":[309],"(5G-ADS-KNN),":[313],"elaborates":[315],"next-generation":[317],"IDS":[321],"dimensionality":[323],"reduction":[324],"(5G-ADS-DNN),":[325],"respectively.":[326]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
