{"id":"https://openalex.org/W4406342941","doi":"https://doi.org/10.3390/jcp5010003","title":"Enhanced Deep Autoencoder-Based Reinforcement Learning Model with Improved Flamingo Search Policy Selection for Attack Classification","display_name":"Enhanced Deep Autoencoder-Based Reinforcement Learning Model with Improved Flamingo Search Policy Selection for Attack Classification","publication_year":2025,"publication_date":"2025-01-14","ids":{"openalex":"https://openalex.org/W4406342941","doi":"https://doi.org/10.3390/jcp5010003"},"language":"en","primary_location":{"id":"doi:10.3390/jcp5010003","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jcp5010003","pdf_url":"https://www.mdpi.com/2624-800X/5/1/3/pdf?version=1736849809","source":{"id":"https://openalex.org/S4210232532","display_name":"Journal of Cybersecurity and Privacy","issn_l":"2624-800X","issn":["2624-800X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cybersecurity and Privacy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2624-800X/5/1/3/pdf?version=1736849809","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113061459","display_name":"Dharani Kanta Roy","orcid":"https://orcid.org/0000-0002-4994-1093"},"institutions":[{"id":"https://openalex.org/I4210128956","display_name":"Central Institute of Technology Kokrajhar","ror":"https://ror.org/0329af416","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210128956","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dharani Kanta Roy","raw_affiliation_strings":["Department of Computer Science & Engineering, Central Institute of Technology Kokrajhar, Assam 783370, India"],"raw_orcid":"https://orcid.org/0000-0002-4994-1093","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Central Institute of Technology Kokrajhar, Assam 783370, India","institution_ids":["https://openalex.org/I4210128956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051960178","display_name":"Hemanta Kalita","orcid":"https://orcid.org/0000-0002-9798-6608"},"institutions":[{"id":"https://openalex.org/I4210128956","display_name":"Central Institute of Technology Kokrajhar","ror":"https://ror.org/0329af416","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210128956","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hemanta Kumar Kalita","raw_affiliation_strings":["Department of Computer Science & Engineering, Central Institute of Technology Kokrajhar, Assam 783370, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Central Institute of Technology Kokrajhar, Assam 783370, India","institution_ids":["https://openalex.org/I4210128956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113061459"],"corresponding_institution_ids":["https://openalex.org/I4210128956"],"apc_list":{"value":1000,"currency":"CHF","value_usd":1207},"apc_paid":{"value":1000,"currency":"CHF","value_usd":1207},"fwci":2.9359,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.90240391,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"5","issue":"1","first_page":"3","last_page":"3"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9988999962806702,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9922000169754028,"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/autoencoder","display_name":"Autoencoder","score":0.8972653150558472},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8498786687850952},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6786106824874878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6193296313285828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.584856390953064},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5307626128196716},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.32299917936325073}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8972653150558472},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8498786687850952},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6786106824874878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6193296313285828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.584856390953064},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5307626128196716},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.32299917936325073}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/jcp5010003","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jcp5010003","pdf_url":"https://www.mdpi.com/2624-800X/5/1/3/pdf?version=1736849809","source":{"id":"https://openalex.org/S4210232532","display_name":"Journal of Cybersecurity and Privacy","issn_l":"2624-800X","issn":["2624-800X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cybersecurity and Privacy","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bfcbf2ba1ef9408a9a2a0d5fae645247","is_oa":true,"landing_page_url":"https://doaj.org/article/bfcbf2ba1ef9408a9a2a0d5fae645247","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":"Journal of Cybersecurity and Privacy, Vol 5, Iss 1, p 3 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/jcp5010003","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jcp5010003","pdf_url":"https://www.mdpi.com/2624-800X/5/1/3/pdf?version=1736849809","source":{"id":"https://openalex.org/S4210232532","display_name":"Journal of Cybersecurity and Privacy","issn_l":"2624-800X","issn":["2624-800X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cybersecurity and Privacy","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406342941.pdf","grobid_xml":"https://content.openalex.org/works/W4406342941.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W2296509296","https://openalex.org/W2334853001","https://openalex.org/W2766196489","https://openalex.org/W2982676361","https://openalex.org/W2984432074","https://openalex.org/W3005630930","https://openalex.org/W3027236250","https://openalex.org/W3047132966","https://openalex.org/W3048313003","https://openalex.org/W3082729101","https://openalex.org/W3101894954","https://openalex.org/W3143021555","https://openalex.org/W3158456479","https://openalex.org/W3160455160","https://openalex.org/W3172076356","https://openalex.org/W3173417808","https://openalex.org/W3205483739","https://openalex.org/W3211805421","https://openalex.org/W3217748719","https://openalex.org/W4309581904","https://openalex.org/W4312204616","https://openalex.org/W4313558385","https://openalex.org/W4322622028","https://openalex.org/W4386741428","https://openalex.org/W4388491925","https://openalex.org/W4391450188","https://openalex.org/W4391574528","https://openalex.org/W4392908661","https://openalex.org/W4394013869","https://openalex.org/W4394677549","https://openalex.org/W4399198942","https://openalex.org/W4400135290","https://openalex.org/W4400502188","https://openalex.org/W4400647899","https://openalex.org/W4400737507","https://openalex.org/W4401755015","https://openalex.org/W4401984362","https://openalex.org/W4402262347","https://openalex.org/W4402689093","https://openalex.org/W4403024127","https://openalex.org/W4403238454","https://openalex.org/W4404568121","https://openalex.org/W6782983528","https://openalex.org/W6908357448"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W4405887298","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Intrusion":[0],"detection":[1,40,183],"has":[2,17],"been":[3],"a":[4,103,125],"vast-surveyed":[5],"topic":[6],"for":[7,21,142],"many":[8],"decades":[9],"as":[10,25],"network":[11,49],"attacks":[12,50],"are":[13,29],"tremendously":[14],"growing.":[15],"This":[16],"heightened":[18],"the":[19,48,53,91,116,133,150,156,181],"need":[20],"security":[22],"in":[23,149],"networks":[24],"web-based":[26],"communication":[27],"systems":[28],"advanced":[30],"nowadays.":[31],"The":[32,93,144,162],"proposed":[33],"work":[34],"introduces":[35],"an":[36,67,108],"intelligent":[37],"semi-supervised":[38],"intrusion":[39],"system":[41],"based":[42],"on":[43],"different":[44],"algorithms":[45],"to":[46,76,114],"classify":[47],"accurately.":[51],"Initially,":[52],"pre-processing":[54],"is":[55,74,99,140,147,166,178],"accomplished":[56],"using":[57,155,171],"null":[58],"value":[59],"dropping":[60],"and":[61,80,107,118,137,153,159,169,174],"standard":[62],"scaler":[63],"normalization.":[64],"After":[65,122],"pre-processing,":[66],"enhanced":[68],"Deep":[69],"Reinforcement":[70],"Learning":[71],"(EDRL)":[72],"model":[73,146],"employed":[75,141],"extract":[77],"high-level":[78],"representations":[79],"learn":[81],"complex":[82],"patterns":[83],"from":[84],"data":[85],"by":[86,101],"means":[87],"of":[88,95],"interaction":[89],"with":[90],"environment.":[92],"enhancement":[94],"deep":[96,104],"reinforcement":[97],"learning":[98],"made":[100],"associating":[102],"autoencoder":[105],"(AE)":[106],"improved":[109],"flamingo":[110],"search":[111],"algorithm":[112],"(IFSA)":[113],"approximate":[115],"Q-function":[117],"optimal":[119],"policy":[120],"selection.":[121],"feature":[123],"representations,":[124],"support":[126],"vector":[127],"machine":[128],"(SVM)":[129],"classifier,":[130],"which":[131,177],"discriminates":[132],"input":[134],"into":[135],"normal":[136],"attack":[138],"instances,":[139],"classification.":[143],"presented":[145],"simulated":[148],"Python":[151],"platform":[152],"evaluated":[154],"UNSW-NB15,":[157,172],"CICIDS2017,":[158,173],"NSL-KDD":[160,175],"datasets.":[161],"overall":[163],"classification":[164],"accuracy":[165],"99.6%,":[167],"99.93%,":[168],"99.42%":[170],"datasets,":[176],"higher":[179],"than":[180],"existing":[182],"frameworks.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}