{"id":"https://openalex.org/W4402749238","doi":"https://doi.org/10.1142/s0219649224500795","title":"Cyber-attack Detection and Mitigation Process under Big Data Consideration: Improved Recursive Feature Elimination-based Feature Selection","display_name":"Cyber-attack Detection and Mitigation Process under Big Data Consideration: Improved Recursive Feature Elimination-based Feature Selection","publication_year":2024,"publication_date":"2024-09-20","ids":{"openalex":"https://openalex.org/W4402749238","doi":"https://doi.org/10.1142/s0219649224500795"},"language":"en","primary_location":{"id":"doi:10.1142/s0219649224500795","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219649224500795","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"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 Information & Knowledge Management","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/A5004974151","display_name":"D. Raghunath Kumar Babu","orcid":null},"institutions":[{"id":"https://openalex.org/I138876546","display_name":"Vels University","ror":"https://ror.org/00tscx035","country_code":"IN","type":"education","lineage":["https://openalex.org/I138876546"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. Raghunath Kumar Babu","raw_affiliation_strings":["Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Pallavaram, Chennai, Tamil Nadu 600117, India"],"raw_orcid":"https://orcid.org/0000-0001-8687-6510","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Pallavaram, Chennai, Tamil Nadu 600117, India","institution_ids":["https://openalex.org/I138876546"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029625679","display_name":"A. Packialatha","orcid":"https://orcid.org/0000-0001-7374-1262"},"institutions":[{"id":"https://openalex.org/I138876546","display_name":"Vels University","ror":"https://ror.org/00tscx035","country_code":"IN","type":"education","lineage":["https://openalex.org/I138876546"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Packialatha","raw_affiliation_strings":["Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Pallavaram, Chennai, Tamil Nadu 600117, India"],"raw_orcid":"https://orcid.org/0000-0001-7374-1262","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Pallavaram, Chennai, Tamil Nadu 600117, India","institution_ids":["https://openalex.org/I138876546"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138876546"],"apc_list":null,"apc_paid":null,"fwci":1.7826,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86950761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"23","issue":"06","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13161","display_name":"Ideological and Political Education","score":0.5830000042915344,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13161","display_name":"Ideological and Political Education","score":0.5830000042915344,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.5640000104904175,"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/T10734","display_name":"Information and Cyber Security","score":0.5372999906539917,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.8043416738510132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7612920999526978},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7305368185043335},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6883487701416016},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6703404188156128},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.542752742767334},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5260196328163147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4078305661678314},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3402884006500244},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.33555328845977783},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3208395838737488}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8043416738510132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7612920999526978},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7305368185043335},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6883487701416016},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6703404188156128},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.542752742767334},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5260196328163147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4078305661678314},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3402884006500244},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.33555328845977783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3208395838737488},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219649224500795","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219649224500795","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"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 Information & Knowledge Management","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:jikmxx:v:23:y:2024:i:06:n:s0219649224500795","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219649224500795","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"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/W2061279950","https://openalex.org/W2111885992","https://openalex.org/W2132818390","https://openalex.org/W2792029691","https://openalex.org/W2910314742","https://openalex.org/W2964937598","https://openalex.org/W2969886037","https://openalex.org/W2969980263","https://openalex.org/W2980418550","https://openalex.org/W2995142635","https://openalex.org/W3012257799","https://openalex.org/W3018679575","https://openalex.org/W3042433202","https://openalex.org/W3044480760","https://openalex.org/W3082798114","https://openalex.org/W3092201318","https://openalex.org/W3092699618","https://openalex.org/W3111288713","https://openalex.org/W3119918144","https://openalex.org/W3125691522","https://openalex.org/W3128542729","https://openalex.org/W3136449072","https://openalex.org/W3157109923","https://openalex.org/W3160419751","https://openalex.org/W3172875390","https://openalex.org/W3173147918","https://openalex.org/W3186195672","https://openalex.org/W4210703124","https://openalex.org/W4319791240","https://openalex.org/W4381300308"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Due":[0,32,51],"to":[1,33,46,52,63,219],"the":[2,34,108,116,122,138,161,165,189,199,221,229,264,268],"rapid":[3,35],"growth":[4],"of":[5,73,79,276],"network":[6,38,49,69],"technology,":[7],"huge":[8],"volume":[9],"and":[10,24,28,54,65,81,104,129,179,213,261,267,286],"distinct":[11],"data":[12,148],"sent":[13],"via":[14,115],"networks":[15],"is":[16,59,135,143,154,195,217,242],"expanding":[17],"constantly.":[18],"The":[19,71,131,141,202,244],"situation":[20],"shows":[21],"how":[22],"complex":[23],"dense":[25],"cyber":[26,40,56],"attacks":[27],"hazards":[29],"are":[30,271],"developing.":[31],"advancement":[36],"in":[37,68,248],"density,":[39],"security":[41],"specialists":[42],"find":[43],"it":[44,58],"difficult":[45],"monitor":[47],"all":[48],"activity.":[50],"frequent":[53],"sophisticated":[55],"attacks,":[57],"becoming":[60],"more":[61],"challenging":[62],"detect":[64,220],"identify":[66],"abnormalities":[67],"events.":[70],"use":[72],"deep":[74],"learning":[75],"provides":[76],"a":[77,100,146,159,274],"variety":[78,275],"tools":[80],"strategies":[82],"for":[83,156],"automated":[84],"cyber-attack":[85,102],"detection":[86,103,128,204],"as":[87,89,93,95,279],"well":[88,94],"quick":[90],"attack-type":[91],"prediction":[92],"evaluation.":[96],"This":[97],"work":[98,142,250],"introduces":[99],"novel":[101],"mitigation":[105,240],"process":[106,134],"under":[107],"following":[109],"phases":[110],"including":[111,171],"preprocessing,":[112],"feature":[113,125,166,187],"extraction":[114,167],"Map":[117,151],"Reduce":[118,152],"framework":[119,153,162],"that":[120,197],"handles":[121],"big":[123,147],"data,":[124],"selection,":[126],"attack":[127,225],"mitigation.":[130],"Improved":[132,190],"Normalisation":[133],"achieved":[136],"on":[137],"preprocessing":[139],"phase.":[140],"examined":[144],"from":[145],"perspective;":[149],"hence":[150],"utilised":[155],"this.":[157],"As":[158],"result,":[160],"will":[163,183],"manage":[164],"process,":[168],"where":[169],"features":[170,182],"statistical":[172],"features,":[173,175,178],"raw":[174],"improved":[176,238],"correlation-based":[177],"info":[180],"gain-based":[181],"be":[184,232],"extracted.":[185],"Following":[186],"extraction,":[188],"Recursive":[191],"Feature":[192],"Elimination":[193],"procedure":[194,241],"processed":[196],"selects":[198],"relevant":[200],"features.":[201],"hybrid":[203],"model,":[205],"which":[206],"combines":[207],"Recurrent":[208],"Neural":[209],"Networks":[210,215],"(RNN)":[211],"Deep":[212],"Belief":[214],"(DBN)":[216],"used":[218,247],"attacks.":[222],"Once":[223],"an":[224,237],"has":[226],"been":[227],"detected,":[228],"attacker":[230],"must":[231],"mitigated.":[233],"To":[234],"accomplish":[235],"this,":[236],"BAIT-based":[239],"used.":[243],"two":[245],"datasets":[246],"this":[249],"are,":[251],"namely,":[252],"Intrusion":[253,258],"Detection":[254],"Systems":[255],"(IDS)":[256],"2018":[257],"CSVs":[259],"(CSE-CIC-IDS2018)":[260],"UNSW_NB15.":[262],"Finally,":[263],"suggested":[265],"model":[266],"alternative":[269],"methods":[270],"contrasted":[272],"using":[273],"measures":[277],"such":[278],"accuracy,":[280],"sensitivity,":[281],"specificity,":[282],"precision,":[283],"FDR,":[284],"FNR":[285],"FPR.":[287]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}