{"id":"https://openalex.org/W3038130128","doi":"https://doi.org/10.4018/ijghpc.2020070105","title":"RFA Reinforced Firefly Algorithm to Identify Optimal Feature Subsets for Network IDS","display_name":"RFA Reinforced Firefly Algorithm to Identify Optimal Feature Subsets for Network IDS","publication_year":2020,"publication_date":"2020-06-23","ids":{"openalex":"https://openalex.org/W3038130128","doi":"https://doi.org/10.4018/ijghpc.2020070105","mag":"3038130128"},"language":"en","primary_location":{"id":"doi:10.4018/ijghpc.2020070105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijghpc.2020070105","pdf_url":null,"source":{"id":"https://openalex.org/S43307632","display_name":"International Journal of Grid and High Performance Computing","issn_l":"1938-0259","issn":["1938-0259","1938-0267"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Grid and High Performance Computing","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/A5109576922","display_name":"R. Rajakumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"R. Rajakumar","raw_affiliation_strings":["Madanapalle Institute of Technology and Science, Madanapalle, India"],"raw_orcid":"https://orcid.org/0000-0002-0734-3423","affiliations":[{"raw_affiliation_string":"Madanapalle Institute of Technology and Science, Madanapalle, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108710692","display_name":"K. Dinesh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Dinesh","raw_affiliation_strings":["Madanapalle Institute of Technology and Science, Madanapalle, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Madanapalle Institute of Technology and Science, Madanapalle, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026456703","display_name":"Ankur Dumka","orcid":"https://orcid.org/0000-0001-8837-7723"},"institutions":[{"id":"https://openalex.org/I933318745","display_name":"Dehradun Institute of Technology University","ror":"https://ror.org/01v5k4d73","country_code":"IN","type":"education","lineage":["https://openalex.org/I933318745"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ankur Dumka","raw_affiliation_strings":["Women Institue of Technology, Dehradun, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Women Institue of Technology, Dehradun, India","institution_ids":["https://openalex.org/I933318745"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032641038","display_name":"Jayakumar Loganathan","orcid":"https://orcid.org/0000-0002-5542-6709"},"institutions":[{"id":"https://openalex.org/I1330855593","display_name":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology","ror":"https://ror.org/05bc5bx80","country_code":"IN","type":"education","lineage":["https://openalex.org/I1330855593"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayakumar L","raw_affiliation_strings":["Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India","institution_ids":["https://openalex.org/I1330855593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109576922"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3237,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61840424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"12","issue":"3","first_page":"68","last_page":"87"},"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.9958999752998352,"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/firefly-algorithm","display_name":"Firefly algorithm","score":0.9131578207015991},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7732135057449341},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7350727915763855},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6490139961242676},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6100419759750366},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5483778119087219},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5308431386947632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48827552795410156},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.48542818427085876},{"id":"https://openalex.org/keywords/firefly-protocol","display_name":"Firefly protocol","score":0.4672990143299103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4371870160102844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42799827456474304},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3261764645576477},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.055226266384124756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.055135101079940796}],"concepts":[{"id":"https://openalex.org/C154982244","wikidata":"https://www.wikidata.org/wiki/Q5451844","display_name":"Firefly algorithm","level":3,"score":0.9131578207015991},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7732135057449341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7350727915763855},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6490139961242676},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6100419759750366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5483778119087219},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5308431386947632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48827552795410156},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.48542818427085876},{"id":"https://openalex.org/C107477482","wikidata":"https://www.wikidata.org/wiki/Q22570039","display_name":"Firefly protocol","level":2,"score":0.4672990143299103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4371870160102844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42799827456474304},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3261764645576477},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.055226266384124756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.055135101079940796},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C90856448","wikidata":"https://www.wikidata.org/wiki/Q431","display_name":"Zoology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijghpc.2020070105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijghpc.2020070105","pdf_url":null,"source":{"id":"https://openalex.org/S43307632","display_name":"International Journal of Grid and High Performance Computing","issn_l":"1938-0259","issn":["1938-0259","1938-0267"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Grid and High Performance Computing","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":29,"referenced_works":["https://openalex.org/W135902891","https://openalex.org/W969507161","https://openalex.org/W1943584070","https://openalex.org/W1966809779","https://openalex.org/W2032620230","https://openalex.org/W2064575768","https://openalex.org/W2075225004","https://openalex.org/W2076384720","https://openalex.org/W2146277666","https://openalex.org/W2148244131","https://openalex.org/W2153611261","https://openalex.org/W2153631847","https://openalex.org/W2154053567","https://openalex.org/W2154943049","https://openalex.org/W2167101736","https://openalex.org/W2314002629","https://openalex.org/W2402597829","https://openalex.org/W2541712849","https://openalex.org/W2546923044","https://openalex.org/W2553769569","https://openalex.org/W2599306383","https://openalex.org/W2743537871","https://openalex.org/W2776874440","https://openalex.org/W2794048982","https://openalex.org/W2794786524","https://openalex.org/W2903452648","https://openalex.org/W2911747218","https://openalex.org/W2912808862","https://openalex.org/W2939100800"],"related_works":["https://openalex.org/W2222304693","https://openalex.org/W2490269892","https://openalex.org/W4200439108","https://openalex.org/W2940563633","https://openalex.org/W2757862489","https://openalex.org/W2411884393","https://openalex.org/W2138097482","https://openalex.org/W2984874436","https://openalex.org/W2912808862","https://openalex.org/W2890875110"],"abstract_inverted_index":{"Intrusion":[0],"detection":[1,115],"systems":[2],"(IDS's)":[3],"play":[4],"a":[5,35],"vital":[6],"role":[7],"in":[8,111],"network":[9],"security":[10],"to":[11,28,50,61,73,79,131],"prevent":[12],"the":[13,46,52,63,67,81,84,93,107],"unauthorized":[14],"use":[15],"of":[16,66,83,113],"data":[17,96],"over":[18],"networks.":[19],"The":[20,87],"feature":[21,38,69],"selection":[22,39],"approach":[23,65],"is":[24,41,90],"an":[25],"important":[26],"paradigm":[27],"strengthen":[29],"IDS":[30],"systems.":[31],"In":[32,71],"this":[33],"article,":[34],"reinforced":[36],"firefly-based":[37],"model":[40,44],"proposed.":[42],"This":[43],"utilizes":[45],"firefly":[47],"inspired":[48],"optimizer":[49,64],"select":[51],"features":[53],"and":[54,58,118,126],"it":[55,121],"combines":[56],"filter-based":[57],"wrapper-based":[59],"approaches":[60],"boost":[62],"significant":[68],"subset.":[70,86],"addition":[72],"that,":[74],"novel":[75],"classifiers":[76],"are":[77],"used":[78],"validate":[80],"efficiency":[82],"selected":[85],"proposed":[88,108],"work":[89,109],"tested":[91],"on":[92],"KDD":[94],"Cup99":[95],"sets":[97],"which":[98],"include":[99],"41":[100],"different":[101],"features.":[102],"Experimental":[103],"results":[104],"convey":[105],"that":[106],"outperforms":[110],"terms":[112],"better":[114,123],"accuracy,":[116],"FPR":[117],"F-score.":[119],"Also,":[120],"achieves":[122],"classification":[124],"accuracy":[125],"less":[127],"computational":[128],"complexity":[129],"compared":[130],"other":[132],"algorithms.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}