{"id":"https://openalex.org/W4389080785","doi":"https://doi.org/10.3233/web-230187","title":"Deep hybrid model for attack detection in IoT-fog architecture with improved feature set and optimal training","display_name":"Deep hybrid model for attack detection in IoT-fog architecture with improved feature set and optimal training","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389080785","doi":"https://doi.org/10.3233/web-230187"},"language":"en","primary_location":{"id":"doi:10.3233/web-230187","is_oa":false,"landing_page_url":"https://doi.org/10.3233/web-230187","pdf_url":null,"source":{"id":"https://openalex.org/S4210183871","display_name":"Web Intelligence","issn_l":"2405-6456","issn":["2405-6456","2405-6464"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Web Intelligence","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/A5000778039","display_name":"Navnath B. Pokale","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153931","display_name":"D.Y. Patil University","ror":"https://ror.org/045qb5273","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210153931"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Navnath\u00a0B. Pokale","raw_affiliation_strings":["Department of Computer Engineering, School of Engineering and Technology, D. Y. Patil University, Ambi Pune, Maharashtra, 410507, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, School of Engineering and Technology, D. Y. Patil University, Ambi Pune, Maharashtra, 410507, India","institution_ids":["https://openalex.org/I4210153931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102883825","display_name":"Pooja Sharma","orcid":"https://orcid.org/0000-0002-0404-9923"},"institutions":[{"id":"https://openalex.org/I4210153931","display_name":"D.Y. Patil University","ror":"https://ror.org/045qb5273","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210153931"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pooja Sharma","raw_affiliation_strings":["Department of Computer Engineering, School of Engineering and Technology, D. Y. Patil University, Ambi Pune, Maharashtra, 410507, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, School of Engineering and Technology, D. Y. Patil University, Ambi Pune, Maharashtra, 410507, India","institution_ids":["https://openalex.org/I4210153931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045168163","display_name":"Deepak Mane","orcid":"https://orcid.org/0000-0002-5387-150X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deepak\u00a0T. Mane","raw_affiliation_strings":["Department of Computer Engineering, Vishwakarma Institute of Technology, Pune, Maharashtra, 411037, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Vishwakarma Institute of Technology, Pune, Maharashtra, 411037, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000778039"],"corresponding_institution_ids":["https://openalex.org/I4210153931"],"apc_list":null,"apc_paid":null,"fwci":0.5762,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69671137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"22","issue":"1","first_page":"111","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.7957886457443237},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7121580839157104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6537089347839355},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6309958696365356},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.6091704368591309},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5785576701164246},{"id":"https://openalex.org/keywords/denial-of-service-attack","display_name":"Denial-of-service attack","score":0.5453273057937622},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4724617004394531},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46475163102149963},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36289647221565247},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.28841644525527954}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7957886457443237},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7121580839157104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6537089347839355},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6309958696365356},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.6091704368591309},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5785576701164246},{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.5453273057937622},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4724617004394531},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46475163102149963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36289647221565247},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.28841644525527954},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/web-230187","is_oa":false,"landing_page_url":"https://doi.org/10.3233/web-230187","pdf_url":null,"source":{"id":"https://openalex.org/S4210183871","display_name":"Web Intelligence","issn_l":"2405-6456","issn":["2405-6456","2405-6464"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Web Intelligence","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":8,"referenced_works":["https://openalex.org/W2110798204","https://openalex.org/W3017752721","https://openalex.org/W3134574975","https://openalex.org/W3167334084","https://openalex.org/W3178030394","https://openalex.org/W4200261923","https://openalex.org/W4293222100","https://openalex.org/W4309173386"],"related_works":["https://openalex.org/W2585432886","https://openalex.org/W2165991108","https://openalex.org/W3082895349","https://openalex.org/W2565516711","https://openalex.org/W3004069267","https://openalex.org/W4327774331","https://openalex.org/W3136021864","https://openalex.org/W2572334665","https://openalex.org/W2248239756","https://openalex.org/W3040832198"],"abstract_inverted_index":{"IoT-Fog":[0,114],"computing":[1],"provides":[2],"a":[3,104],"wide":[4],"range":[5],"of":[6,88,132,173,220],"services":[7],"for":[8,110,200],"end-based":[9],"IoT":[10,13,39],"systems.":[11],"End":[12],"devices":[14,41,90],"interface":[15],"with":[16,218],"cloud":[17,52],"nodes":[18,21],"and":[19,30,50,65,96,141,164,215,225],"fog":[20,49],"to":[22,37,56,92,157,176],"manage":[23],"client":[24],"tasks.":[25],"Critical":[26],"attacks":[27],"like":[28,136],"DDoS":[29],"other":[31],"security":[32],"risks":[33],"are":[34,44,144,153],"more":[35],"likely":[36],"compromise":[38],"end":[40],"while":[42],"they":[43],"collecting":[45],"data":[46,119],"between":[47],"the":[48,51,67,70,126,130,147,170,174,178,182,190,201,207],"layer.":[53],"It\u2019s":[54],"important":[55],"find":[57],"these":[58],"network":[59],"vulnerabilities":[60],"early.":[61],"By":[62],"extracting":[63],"features":[64,135],"placing":[66],"danger":[68],"in":[69,75,113,125,146,169],"network,":[71],"DL":[72],"is":[73,198],"crucial":[74],"predicting":[76],"end-user":[77],"behavior.":[78],"However,":[79],"deep":[80],"learning":[81],"cannot":[82],"be":[83,122],"carried":[84,123],"out":[85,124],"on":[86,181],"Internet":[87],"Things":[89],"because":[91],"their":[93],"constrained":[94],"calculation":[95],"storage":[97],"capabilities.":[98],"In":[99],"this":[100],"research,":[101],"we":[102],"suggest":[103],"three-stage":[105],"Deep":[106,162,165,203],"Hybrid":[107],"Detection":[108,112],"Model":[109],"Attack":[111],"Architecture.":[115],"Improved":[116],"Z-score":[117],"normalization-based":[118],"preparation":[120],"will":[121],"initial":[127],"step.":[128,149],"On":[129],"basis":[131],"preprocessed":[133],"data,":[134,139],"IG,":[137],"raw":[138],"entropy,":[140],"enhanced":[142],"MI":[143],"extracted":[145],"second":[148],"The":[150],"collected":[151],"characteristics":[152],"used":[154],"as":[155],"input":[156,183],"hybrid":[158,186],"classifiers":[159],"dubbed":[160],"optimized":[161],"Maxout":[163,204],"Belief":[166],"Network":[167],"(DBN)":[168],"third":[171],"step":[172],"process":[175],"classify":[177],"assaults":[179],"based":[180],"dataset.":[184],"A":[185],"optimization":[187],"model":[188,209],"called":[189],"BMUJFO":[191],"(Blue":[192],"Monkey":[193],"Updated":[194],"Jellyfish":[195],"Optimization)":[196],"technique":[197],"presented":[199],"best":[202],"training.":[205],"Additionally,":[206],"suggested":[208],"produced":[210],"higher":[211],"accuracy,":[212],"precision,":[213],"sensitivity,":[214],"specificity":[216],"results,":[217],"values":[219],"95.26":[221],"percent,":[222],"94.84%,":[223],"96.28%,":[224],"97.84%,":[226],"respectively.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
