{"id":"https://openalex.org/W4403616063","doi":"https://doi.org/10.1142/s0219467826500294","title":"Distributed Denial of Service Attack Detection and Prevention Using Pipit Fox-Attentional Deep Learning in Software-Defined Networking","display_name":"Distributed Denial of Service Attack Detection and Prevention Using Pipit Fox-Attentional Deep Learning in Software-Defined Networking","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4403616063","doi":"https://doi.org/10.1142/s0219467826500294"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467826500294","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467826500294","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"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":"International Journal of Image and Graphics","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/A5012317002","display_name":"Anuja Sharma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anuja Sharma","raw_affiliation_strings":["Department of Computer Science and Engineering, Soban Singh Jeena University, Almora, Uttarakhand 263130, India"],"raw_orcid":"https://orcid.org/0009-0005-7930-1037","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Soban Singh Jeena University, Almora, Uttarakhand 263130, India","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Parul Saxena","orcid":"https://orcid.org/0009-0007-0544-593X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Parul Saxena","raw_affiliation_strings":["Department of Computer Science and Engineering, Soban Singh Jeena University, Almora, Uttarakhand 263130, India"],"raw_orcid":"https://orcid.org/0009-0007-0544-593X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Soban Singh Jeena University, Almora, Uttarakhand 263130, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5682,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68916053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"26","issue":"04","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9933000206947327,"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":0.9933000206947327,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9879000186920166,"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":0.9248999953269958,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/denial-of-service-attack","display_name":"Denial-of-service attack","score":0.9045716524124146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6769766211509705},{"id":"https://openalex.org/keywords/denial","display_name":"Denial","score":0.5750129222869873},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5417282581329346},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.48047366738319397},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46266865730285645},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.45644551515579224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4354858100414276},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.343941867351532},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3382767140865326},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.31090909242630005},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1984434723854065},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19146299362182617},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12321123480796814},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.10535994172096252}],"concepts":[{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.9045716524124146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6769766211509705},{"id":"https://openalex.org/C2780900520","wikidata":"https://www.wikidata.org/wiki/Q100268981","display_name":"Denial","level":2,"score":0.5750129222869873},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5417282581329346},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.48047366738319397},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46266865730285645},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.45644551515579224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4354858100414276},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.343941867351532},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3382767140865326},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31090909242630005},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1984434723854065},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19146299362182617},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12321123480796814},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.10535994172096252},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467826500294","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467826500294","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"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":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W2013330146","https://openalex.org/W2024518622","https://openalex.org/W2137345105","https://openalex.org/W2164686665","https://openalex.org/W2276629685","https://openalex.org/W2540373227","https://openalex.org/W2726376769","https://openalex.org/W2782220218","https://openalex.org/W2807573714","https://openalex.org/W2902106343","https://openalex.org/W2922298999","https://openalex.org/W2941497813","https://openalex.org/W2942104252","https://openalex.org/W2954996676","https://openalex.org/W2979998718","https://openalex.org/W2998008813","https://openalex.org/W2998553334","https://openalex.org/W2999113954","https://openalex.org/W3008535060","https://openalex.org/W3011928198","https://openalex.org/W3036749504","https://openalex.org/W3038952320","https://openalex.org/W3039277599","https://openalex.org/W3042433202","https://openalex.org/W3043120882","https://openalex.org/W3081430061","https://openalex.org/W3083616926","https://openalex.org/W3119207006","https://openalex.org/W3129632563","https://openalex.org/W3161894417","https://openalex.org/W3173417808","https://openalex.org/W3175448228","https://openalex.org/W3176886883","https://openalex.org/W3214529927","https://openalex.org/W4210729620","https://openalex.org/W4226198849","https://openalex.org/W4285267863","https://openalex.org/W4307273478","https://openalex.org/W4313641248","https://openalex.org/W4320532256","https://openalex.org/W4327740108","https://openalex.org/W4360584536","https://openalex.org/W4367333154","https://openalex.org/W4377691173","https://openalex.org/W4385795803","https://openalex.org/W4388819979"],"related_works":["https://openalex.org/W2035091929","https://openalex.org/W2161226151","https://openalex.org/W2765658188","https://openalex.org/W2235209299","https://openalex.org/W2886198660","https://openalex.org/W1994643043","https://openalex.org/W1997184652","https://openalex.org/W2413774596","https://openalex.org/W206810774","https://openalex.org/W4380075502"],"abstract_inverted_index":{"The":[0,44,88],"Software-Defined":[1],"Network":[2,76,85],"(SDN)":[3],"remains":[4],"the":[5,12,33,66,95,104,117,122,125,128,132,151,164,167,178,194,201,207,219],"innovative":[6],"model":[7,129,169,190,209],"that":[8],"assists":[9],"in":[10,141,170,248],"satisfying":[11],"new":[13],"application":[14],"requirements":[15],"of":[16,25,127,153,166,181,196,206],"future":[17],"networks.":[18],"However,":[19],"destructive":[20],"attacks,":[21,28],"particularly":[22],"Distributed":[23],"Denial":[24],"Service":[26],"(DDoS)":[27],"are":[29,210],"aimed":[30],"primarily":[31],"at":[32],"SDN":[34],"control":[35],"panel,":[36],"presenting":[37],"a":[38,69,185,232],"significant":[39],"risk":[40],"to":[41,93,97,107,130,155],"network":[42,96,134,161,237],"security.":[43],"traditional":[45],"approaches":[46],"for":[47,188,235],"DDoS":[48,112,243],"attack":[49,171],"detection":[50,244],"exhibit":[51],"several":[52],"limitations":[53],"including":[54],"interpretability":[55],"challenges,":[56],"overfitting":[57],"problems,":[58],"and":[59,78,136,144,174,204,215,228,245],"false":[60,146],"predictions.":[61],"To":[62],"mitigate":[63],"these":[64],"drawbacks,":[65],"research":[67],"proposed":[68],"Pipit":[70,80],"Flying":[71],"Fox":[72],"Optimized":[73],"Deep":[74],"Neural":[75,84],"(PPF-DNN)":[77],"Intelligent":[79],"Forage":[81],"Optimized-Attentional":[82],"Convolutional":[83],"(IPFO-ACNN)":[86],"model.":[87],"channel":[89],"attention":[90,118],"is":[91,223],"employed":[92],"enable":[94],"focus":[98],"selectively":[99],"on":[100],"relevant":[101],"information,":[102],"improving":[103],"model\u2019s":[105,221],"sensitivity":[106],"subtle":[108],"anomalies":[109],"associated":[110],"with":[111],"attacks.":[113],"By":[114],"dynamically":[115],"adjusting":[116],"weights":[119],"across":[120],"channels,":[121],"mechanism":[123],"enhances":[124],"capability":[126],"discriminate":[131],"normal":[133],"traffic":[135],"malicious":[137],"patterns,":[138],"which":[139,230],"results":[140],"improved":[142],"precision":[143],"reduced":[145],"positives.":[147],"This":[148],"approach":[149,187],"harnesses":[150],"power":[152],"CNN":[154],"automatically":[156],"extract":[157],"hierarchical":[158],"features":[159],"from":[160],"data,":[162],"enhancing":[163],"efficacy":[165],"ACNN":[168],"detection.":[172],"IPFO":[173],"PPF":[175],"algorithms":[176],"integrate":[177],"unique":[179],"strengths":[180],"bio-inspired":[182],"algorithms,":[183],"creating":[184],"synergistic":[186],"efficient":[189],"parameter":[191],"tuning.":[192],"In":[193],"case":[195],"Training":[197],"Percentage":[198],"(TP)":[199],"80,":[200],"accuracy,":[202],"sensitivity,":[203],"specificity":[205],"IPFO-ACNN":[208],"evaluated":[211],"as":[212,225],"98.87%,":[213],"99.24%":[214],"97.91%,":[216],"respectively.":[217],"Similarly,":[218],"PPF-DNN":[220],"performance":[222],"assessed":[224],"98.49%,":[226],"92.50%":[227],"98.55%,":[229],"presents":[231],"promising":[233],"avenue":[234],"bolstering":[236],"security":[238],"infrastructure,":[239],"ensuring":[240],"more":[241],"robust":[242],"mitigation":[246],"capabilities":[247],"an":[249],"increasingly":[250],"complex":[251],"cyber":[252],"threat":[253],"landscape.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
