{"id":"https://openalex.org/W2325977474","doi":"https://doi.org/10.3233/his-160221","title":"Multinomial classification of web attacks using improved fuzzy rules learning by Neuro-Fuzzy","display_name":"Multinomial classification of web attacks using improved fuzzy rules learning by Neuro-Fuzzy","publication_year":2016,"publication_date":"2016-03-31","ids":{"openalex":"https://openalex.org/W2325977474","doi":"https://doi.org/10.3233/his-160221","mag":"2325977474"},"language":"en","primary_location":{"id":"doi:10.3233/his-160221","is_oa":false,"landing_page_url":"https://doi.org/10.3233/his-160221","pdf_url":null,"source":{"id":"https://openalex.org/S50927259","display_name":"International Journal of Hybrid Intelligent Systems","issn_l":"1448-5869","issn":["1448-5869","1875-8819"],"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":"International Journal of Hybrid Intelligent Systems","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/A5011052188","display_name":"Andrii Shalaginov","orcid":"https://orcid.org/0000-0003-1980-6875"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Andrii Shalaginov","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5028698767","display_name":"Katrin Franke","orcid":"https://orcid.org/0000-0002-4899-9410"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Katrin Franke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5011052188"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1332,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80429232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":"1","first_page":"15","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.7927792072296143},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.6736977696418762},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.598150372505188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5785269737243652},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5145437121391296},{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.49729421734809875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36459240317344666},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.21618598699569702}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7927792072296143},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.6736977696418762},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.598150372505188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5785269737243652},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5145437121391296},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.49729421734809875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36459240317344666},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.21618598699569702}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/his-160221","is_oa":false,"landing_page_url":"https://doi.org/10.3233/his-160221","pdf_url":null,"source":{"id":"https://openalex.org/S50927259","display_name":"International Journal of Hybrid Intelligent Systems","issn_l":"1448-5869","issn":["1448-5869","1875-8819"],"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":"International Journal of Hybrid Intelligent Systems","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":37,"referenced_works":["https://openalex.org/W8722571","https://openalex.org/W44639962","https://openalex.org/W835698821","https://openalex.org/W1485268022","https://openalex.org/W1502789034","https://openalex.org/W1517025776","https://openalex.org/W1588401315","https://openalex.org/W1604684814","https://openalex.org/W1676820704","https://openalex.org/W1787475144","https://openalex.org/W1970516534","https://openalex.org/W1988251340","https://openalex.org/W2027347092","https://openalex.org/W2062066991","https://openalex.org/W2063867591","https://openalex.org/W2088953431","https://openalex.org/W2098454077","https://openalex.org/W2103459159","https://openalex.org/W2118162660","https://openalex.org/W2140287033","https://openalex.org/W2143017479","https://openalex.org/W2153495295","https://openalex.org/W2163641223","https://openalex.org/W2170505850","https://openalex.org/W2213436756","https://openalex.org/W2221392954","https://openalex.org/W2280570678","https://openalex.org/W2294155244","https://openalex.org/W2402479794","https://openalex.org/W2415520486","https://openalex.org/W2479743319","https://openalex.org/W2527197720","https://openalex.org/W2622105632","https://openalex.org/W4285719527","https://openalex.org/W6607518214","https://openalex.org/W6635310694","https://openalex.org/W6739076064"],"related_works":["https://openalex.org/W2494119046","https://openalex.org/W1506113033","https://openalex.org/W2369306031","https://openalex.org/W1582951599","https://openalex.org/W3199373459","https://openalex.org/W2104977651","https://openalex.org/W2995269021","https://openalex.org/W3033697969","https://openalex.org/W2334715211","https://openalex.org/W195509626"],"abstract_inverted_index":{"Neural":[0,86],"Networks":[1],"are":[2,33],"used":[3,37,168],"together":[4],"with":[5],"fuzzy":[6,162],"inference":[7],"systems":[8],"in":[9,29,48,97,126],"Neuro-Fuzzy,":[10],"a":[11,66,104,108],"prominent":[12],"synergy":[13],"of":[14,22,70,85,117,141],"rules":[15,124,163],"parameters":[16],"unsupervised":[17],"discovery":[18],"and":[19,38,44,83,123,147],"supervised":[20],"tuning":[21,125],"classification":[23,27,99,110,128,149],"model.":[24,111],"The":[25],"binary":[26,109],"task":[28],"Network":[30],"Forensics":[31],"applications":[32],"the":[34,80,88,115,118],"most":[35],"widely":[36],"applied":[39],"for":[40,145,169],"dete":[41],"ction":[42],"``benign''":[43],"``malicious''":[45,73],"activities.":[46],"However,":[47],"many":[49],"areas":[50],"it":[51],"is":[52,102],"not":[53,103],"enough":[54],"to":[55,64,93,107,158,166],"distinguish":[56],"between":[57],"those":[58],"two":[59],"classes,":[60],"yet":[61],"also":[62],"important":[63],"provide":[65],"more":[67,160],"specific":[68],"determination":[69],"what":[71],"exactly":[72],"sub-class":[74],"some":[75],"action":[76],"belongs":[77],"to.":[78],"Despite":[79],"inherited":[81],"properties":[82],"limitations":[84],"Networks,":[87],"Neuro-Fuzzy":[89,119],"may":[90],"be":[91,167],"tuned":[92],"handle":[94],"non-linear":[95],"data":[96],"multinomial":[98,127,148,164],"problems,":[100],"which":[101],"simple":[105],"addition":[106],"This":[112],"work":[113],"targets":[114],"optimization":[116],"output":[120],"layer":[121],"construction":[122],"problems":[129],"as":[130,132],"well":[131],"solving":[133],"accompanying":[134],"challenges.":[135],"Moreover,":[136],"we":[137],"performed":[138],"extensive":[139],"study":[140],"ML":[142],"methods":[143],"designed":[144],"binary-":[146],"problems.":[150],"We":[151],"believe":[152],"that":[153],"our":[154],"approach":[155],"will":[156],"help":[157],"derive":[159],"accurate":[161],"model":[165],"web":[170],"attacks":[171],"identification.":[172]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-23T06:36:01.041984","created_date":"2025-10-10T00:00:00"}
