{"id":"https://openalex.org/W4309759503","doi":"https://doi.org/10.1080/08839514.2022.2145634","title":"Intelligent SDN Architecture With Fuzzy Neural Network and Blockchain for Monitoring Critical Events","display_name":"Intelligent SDN Architecture With Fuzzy Neural Network and Blockchain for Monitoring Critical Events","publication_year":2022,"publication_date":"2022-11-21","ids":{"openalex":"https://openalex.org/W4309759503","doi":"https://doi.org/10.1080/08839514.2022.2145634"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2022.2145634","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2022.2145634","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/08839514.2022.2145634","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002696377","display_name":"Alexey Finogeev","orcid":"https://orcid.org/0000-0002-4777-3364"},"institutions":[{"id":"https://openalex.org/I114616248","display_name":"Penza State University","ror":"https://ror.org/056r5vk88","country_code":"RU","type":"education","lineage":["https://openalex.org/I114616248"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Alexey Finogeev","raw_affiliation_strings":["CAD Department, Penza State University, Penza, Russia"],"raw_orcid":"https://orcid.org/0000-0002-4777-3364","affiliations":[{"raw_affiliation_string":"CAD Department, Penza State University, Penza, Russia","institution_ids":["https://openalex.org/I114616248"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Michael Deev","orcid":"https://orcid.org/0000-0002-0371-5517"},"institutions":[{"id":"https://openalex.org/I114616248","display_name":"Penza State University","ror":"https://ror.org/056r5vk88","country_code":"RU","type":"education","lineage":["https://openalex.org/I114616248"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Michael Deev","raw_affiliation_strings":["CAD Department, Penza State University, Penza, Russia"],"raw_orcid":"https://orcid.org/0000-0002-0371-5517","affiliations":[{"raw_affiliation_string":"CAD Department, Penza State University, Penza, Russia","institution_ids":["https://openalex.org/I114616248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064547022","display_name":"\u0414\u0430\u043d\u0438\u043b\u0430 \u041f\u0430\u0440\u044b\u0433\u0438\u043d","orcid":"https://orcid.org/0000-0001-8834-5748"},"institutions":[{"id":"https://openalex.org/I4210140902","display_name":"Volgograd State Technical University","ror":"https://ror.org/041szz343","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210140902"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Danila Parygin","raw_affiliation_strings":["CAD Department, Volgograd State Technical University, Volgograd, Russia"],"raw_orcid":"https://orcid.org/0000-0001-8834-5748","affiliations":[{"raw_affiliation_string":"CAD Department, Volgograd State Technical University, Volgograd, Russia","institution_ids":["https://openalex.org/I4210140902"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102721868","display_name":"\u0410\u043d\u0442\u043e\u043d \u0424\u0438\u043d\u043e\u0433\u0435\u0435\u0432","orcid":"https://orcid.org/0000-0001-8280-1474"},"institutions":[{"id":"https://openalex.org/I114616248","display_name":"Penza State University","ror":"https://ror.org/056r5vk88","country_code":"RU","type":"education","lineage":["https://openalex.org/I114616248"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"\u0410nton Finogeev","raw_affiliation_strings":["CAD Department, Penza State University, Penza, Russia"],"raw_orcid":"https://orcid.org/0000-0001-8280-1474","affiliations":[{"raw_affiliation_string":"CAD Department, Penza State University, Penza, Russia","institution_ids":["https://openalex.org/I114616248"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002696377"],"corresponding_institution_ids":["https://openalex.org/I114616248"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":1.9959,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87052376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"36","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13983","display_name":"Cybersecurity and Information Systems","score":0.9987999796867371,"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/T13983","display_name":"Cybersecurity and Information Systems","score":0.9987999796867371,"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":0.9951000213623047,"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/T12734","display_name":"Information Systems and Technology Applications","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.871456503868103},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6871738433837891},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6469116806983948},{"id":"https://openalex.org/keywords/application-layer","display_name":"Application layer","score":0.47286248207092285},{"id":"https://openalex.org/keywords/network-layer","display_name":"Network layer","score":0.4622812569141388},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4364604353904724},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.4259251356124878},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.35401707887649536},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.26211556792259216},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.17171382904052734},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.14785832166671753},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14175888895988464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.871456503868103},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6871738433837891},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6469116806983948},{"id":"https://openalex.org/C190793597","wikidata":"https://www.wikidata.org/wiki/Q189768","display_name":"Application layer","level":3,"score":0.47286248207092285},{"id":"https://openalex.org/C117468950","wikidata":"https://www.wikidata.org/wiki/Q208074","display_name":"Network layer","level":3,"score":0.4622812569141388},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4364604353904724},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.4259251356124878},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35401707887649536},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.26211556792259216},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.17171382904052734},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.14785832166671753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14175888895988464},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2022.2145634","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2022.2145634","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:83b76e600e214f5aa80238a68db42f4e","is_oa":false,"landing_page_url":"https://doaj.org/article/83b76e600e214f5aa80238a68db42f4e","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 36, Iss 1 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2022.2145634","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2022.2145634","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G3987381285","display_name":null,"funder_award_id":"22-11-20024","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"},{"id":"https://openalex.org/G5653992952","display_name":null,"funder_award_id":"20-71-10087","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"},{"id":"https://openalex.org/G629267186","display_name":null,"funder_award_id":"22-21-20100","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1991066983","https://openalex.org/W1995450389","https://openalex.org/W2000326002","https://openalex.org/W2019207321","https://openalex.org/W2038194220","https://openalex.org/W2067605982","https://openalex.org/W2162389778","https://openalex.org/W2328751355","https://openalex.org/W2341549654","https://openalex.org/W2393997384","https://openalex.org/W2584217814","https://openalex.org/W2587290317","https://openalex.org/W2624744148","https://openalex.org/W2737879662","https://openalex.org/W2749181166","https://openalex.org/W2757817063","https://openalex.org/W2793346081","https://openalex.org/W2799075412","https://openalex.org/W2891362044","https://openalex.org/W2944992402","https://openalex.org/W2954485493","https://openalex.org/W2971046657","https://openalex.org/W2990559378","https://openalex.org/W3005249695","https://openalex.org/W3017021688","https://openalex.org/W3032270879","https://openalex.org/W3038456932","https://openalex.org/W3061095003","https://openalex.org/W3097417149","https://openalex.org/W3098723088","https://openalex.org/W3101657989","https://openalex.org/W3110540346","https://openalex.org/W3113003998","https://openalex.org/W3133065136","https://openalex.org/W3134435051","https://openalex.org/W3153313568","https://openalex.org/W3161694586","https://openalex.org/W3166434018","https://openalex.org/W3175818073","https://openalex.org/W3183566165","https://openalex.org/W3186826072","https://openalex.org/W3201409553","https://openalex.org/W3206177834","https://openalex.org/W3214662093","https://openalex.org/W4212966148","https://openalex.org/W4213176937","https://openalex.org/W4214849872","https://openalex.org/W4248669805","https://openalex.org/W4253860523","https://openalex.org/W4255435233","https://openalex.org/W4255476919","https://openalex.org/W6941061557"],"related_works":["https://openalex.org/W2187599671","https://openalex.org/W2388271354","https://openalex.org/W2059909365","https://openalex.org/W4225980920","https://openalex.org/W2481053627","https://openalex.org/W2150375123","https://openalex.org/W2057518752","https://openalex.org/W335832637","https://openalex.org/W2107800768","https://openalex.org/W2126872105"],"abstract_inverted_index":{"The":[0,29,61,81,163,220,238,279],"article":[1],"deals":[2],"with":[3,77,91,126,246,287],"the":[4,11,35,42,252,258,261,266,270,284,298],"creation":[5],"of":[6,10,13,38,88,143,157,172,187,195,223,233,244,265,273,283],"an":[7,288],"intelligent":[8,82],"architecture":[9,84,286],"Internet":[12],"Things":[14],"transport":[15,30,44],"environment":[16,31],"based":[17,66,208],"on":[18,67,137,209],"software-defined":[19],"network":[20,52,62,71,151],"(SDN)":[21],"and":[22,27,94,102,140,145,153,160,170,184,198,205,212,242,269,281,308],"blockchain":[23],"for":[24,34,133,177,191,203,217],"detecting":[25,311],"threats":[26,144],"attacks.":[28],"is":[32,48,72,85,147,228,249,292],"created":[33],"monitoring":[36,135],"system":[37,166,291],"critical":[39],"events":[40],"in":[41,57,118,297,310],"road":[43],"infrastructure.":[45],"Blockchain":[46],"technology":[47],"used":[49,73],"to":[50,74,226],"authenticate":[51],"nodes,":[53],"store":[54],"sensor":[55],"data":[56,107,127,173,275,313],"a":[58,68,86,122,131,168,175,189,201,213,234],"distributed":[59],"ledger.":[60],"packet":[63],"clustering":[64,206],"method":[65],"fuzzy":[69,210,253],"neural":[70,214,236,259],"detect":[75],"packets":[76,159,207,224,276],"possible":[78],"malicious":[79,247],"content.":[80],"SDN":[83,105,119,285],"hierarchy":[87],"four":[89],"layers":[90],"six":[92],"levels":[93],"includes:":[95],"a)":[96],"edge":[97],"computing":[98,111,124],"layer":[99,112,125,132],"(sensor":[100],"nodes":[101,152,197],"routers":[103],"level,":[104,115],"switches":[106],"level),":[108],"b)":[109],"fog":[110],"(zone":[113],"server":[114],"control":[116],"level":[117],"controllers),":[120],"c)":[121],"cloud":[123],"center":[128],"servers,":[129],"d)":[130],"presenting":[134],"results":[136],"user":[138],"devices":[139],"applications.":[141],"Detection":[142],"attacks":[146],"implemented":[148],"by":[149,180,294],"validating":[150],"analyzing":[154,204],"header":[155],"fields":[156],"IP":[158],"TCP":[161],"segments.":[162],"intrusion":[164,289],"detection":[165,290],"includes":[167],"parser":[169],"analyzer":[171],"packets,":[174,188],"module":[176,190,202],"filtering":[178],"traffic":[179],"type,":[181],"port":[182],"numbers":[183],"other":[185],"characteristics":[186],"synthesizing":[192],"digital":[193],"signatures":[194],"trusted":[196],"their":[199],"validation,":[200],"logic":[211,254],"network,":[215,260],"modules":[216],"logging":[218],"procedures.":[219],"probability":[221],"function":[222],"belonging":[225,241],"clusters":[227],"tuned":[229],"through":[230],"deep":[231],"learning":[232],"five-layer":[235],"network.":[237],"conclusion":[239],"about":[240],"degree":[243],"similarity":[245],"packages":[248],"formed":[250],"using":[251],"apparatus.":[255],"To":[256],"train":[257],"previously":[262],"synthesized":[263],"rules":[264],"flow":[267],"tables":[268],"identified":[271],"signs":[272],"atypical":[274,312],"are":[277],"used.":[278],"functionality":[280],"effectiveness":[282],"validated":[293],"simulating":[295],"procedures":[296],"NS3":[299],"Simulator":[300],"system,":[301],"evaluating":[302],"authenticity,":[303],"latency,":[304],"throughput,":[305],"response":[306],"time,":[307],"accuracy":[309],"packets.":[314]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}