{"id":"https://openalex.org/W4298147664","doi":"https://doi.org/10.15439/2022f147","title":"Web Intrusion Detection Using Character Level Machine Learning Approaches with Upsampled Data","display_name":"Web Intrusion Detection Using Character Level Machine Learning Approaches with Upsampled Data","publication_year":2022,"publication_date":"2022-09-26","ids":{"openalex":"https://openalex.org/W4298147664","doi":"https://doi.org/10.15439/2022f147"},"language":"en","primary_location":{"id":"doi:10.15439/2022f147","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2022f147","pdf_url":"https://annals-csis.org/proceedings/2022/drp/pdf/147.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://annals-csis.org/proceedings/2022/drp/pdf/147.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068611758","display_name":"Talya T\u00fcmer Sivri","orcid":"https://orcid.org/0000-0003-1813-5539"},"institutions":[{"id":"https://openalex.org/I4210094564","display_name":"Ankara Atat\u00fcrk E\u011fitim ve Ara\u015ft\u0131rma Hastanesi","ror":"https://ror.org/00kmzyw28","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I4210094564"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Talya T\u00fcmer Sivri","raw_affiliation_strings":["Can PEKER Training Tech. and Digital Platforms BITES Ankara, TURKEY","Defense and Information Systems BITES Ankara, TURKEY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Can PEKER Training Tech. and Digital Platforms BITES Ankara, TURKEY","institution_ids":["https://openalex.org/I4210094564"]},{"raw_affiliation_string":"Defense and Information Systems BITES Ankara, TURKEY","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032790984","display_name":"Nergis Pervan Akman","orcid":"https://orcid.org/0000-0003-3241-6812"},"institutions":[{"id":"https://openalex.org/I4210094564","display_name":"Ankara Atat\u00fcrk E\u011fitim ve Ara\u015ft\u0131rma Hastanesi","ror":"https://ror.org/00kmzyw28","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I4210094564"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Nergis Pervan Akman","raw_affiliation_strings":["Can PEKER Training Tech. and Digital Platforms BITES Ankara, TURKEY","Defense and Information Systems BITES Ankara, TURKEY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Can PEKER Training Tech. and Digital Platforms BITES Ankara, TURKEY","institution_ids":["https://openalex.org/I4210094564"]},{"raw_affiliation_string":"Defense and Information Systems BITES Ankara, TURKEY","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051540875","display_name":"Ali Berkol","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094564","display_name":"Ankara Atat\u00fcrk E\u011fitim ve Ara\u015ft\u0131rma Hastanesi","ror":"https://ror.org/00kmzyw28","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I4210094564"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ali Berkol","raw_affiliation_strings":["Can PEKER Training Tech. and Digital Platforms BITES Ankara, TURKEY","Defense and Information Systems BITES Ankara, TURKEY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Can PEKER Training Tech. and Digital Platforms BITES Ankara, TURKEY","institution_ids":["https://openalex.org/I4210094564"]},{"raw_affiliation_string":"Defense and Information Systems BITES Ankara, TURKEY","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029380798","display_name":"Can Peker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Can Peker","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"269","last_page":"274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9977999925613403,"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":0.9977999925613403,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9887999892234802,"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9854000210762024,"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":0.7585842609405518},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.7213571071624756},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5670483112335205},{"id":"https://openalex.org/keywords/intrusion","display_name":"Intrusion","score":0.5472440719604492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5372222661972046},{"id":"https://openalex.org/keywords/web-application","display_name":"Web application","score":0.5179042220115662},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.384174108505249},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19616776704788208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7585842609405518},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.7213571071624756},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5670483112335205},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.5472440719604492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5372222661972046},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.5179042220115662},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.384174108505249},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19616776704788208},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.15439/2022f147","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2022f147","pdf_url":"https://annals-csis.org/proceedings/2022/drp/pdf/147.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:72b481f364954cc4831e92a9d69dc214","is_oa":false,"landing_page_url":"https://doaj.org/article/72b481f364954cc4831e92a9d69dc214","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":"Annals of computer science and information systems, Vol 32, Pp 269-274 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.15439/2022f147","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2022f147","pdf_url":"https://annals-csis.org/proceedings/2022/drp/pdf/147.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4298147664.pdf","grobid_xml":"https://content.openalex.org/works/W4298147664.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W157193387","https://openalex.org/W1988616232","https://openalex.org/W2520527472","https://openalex.org/W2559611555","https://openalex.org/W2806386754","https://openalex.org/W2884111547","https://openalex.org/W2914510789","https://openalex.org/W2990968830","https://openalex.org/W3004785246","https://openalex.org/W3013075373","https://openalex.org/W3022558251","https://openalex.org/W3046021859","https://openalex.org/W3046042764","https://openalex.org/W3047383742","https://openalex.org/W3048053677","https://openalex.org/W3108546805","https://openalex.org/W3111529469","https://openalex.org/W3156522613","https://openalex.org/W3159269399","https://openalex.org/W4206096850","https://openalex.org/W4210704138","https://openalex.org/W6960206166"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2351252967","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W2388271354","https://openalex.org/W4385730947","https://openalex.org/W2034778365","https://openalex.org/W4312653365","https://openalex.org/W3112855875","https://openalex.org/W2533511045"],"abstract_inverted_index":{"Today,":[0],"people":[1,18,29],"fulfill":[2],"their":[3,23],"needs":[4],"in":[5,159,184],"many":[6,16],"areas":[7],"such":[8,51],"as":[9,52],"shopping,":[10],"health,":[11],"and":[12,44,55,62,71,89,102,122,163],"finance":[13],"online.":[14],"Besides":[15],"well-meaning":[17],"who":[19,30],"use":[20],"websites":[21],"for":[22,142],"own":[24],"needs,":[25],"there":[26],"are":[27],"also":[28],"send":[31],"attack":[32,49,77,83],"requests":[33],"to":[34,73,75,126],"get":[35,40],"these":[36,65],"people's":[37],"personal":[38],"data,":[39],"website":[41],"owners'":[42],"information,":[43],"damage":[45],"the":[46,144,151,156,168,178,181],"application.":[47],"The":[48],"types":[50],"SQL":[53],"injection":[54],"XSS":[56],"can":[57],"seriously":[58],"harm":[59],"web":[60],"applications":[61],"users.":[63],"Detecting":[64],"cyber-attacks":[66],"manually":[67],"is":[68],"very":[69],"time-consuming":[70],"difficult":[72],"adapt":[74],"new":[76],"types.":[78],"Our":[79],"proposed":[80],"study":[81],"performs":[82],"detection":[84],"using":[85],"different":[86,116,128],"machine":[87],"learning":[88,91,133],"deep":[90],"approaches":[92],"with":[93,115,137,180],"a":[94,148,164],"larger":[95],"dataset":[96,145],"obtained":[97],"by":[98],"combining":[99],"CSIC":[100],"2012":[101],"ECML/PKDD":[103],"datasets.":[104],"In":[105,124],"this":[106],"study,":[107],"we":[108],"evaluated":[109],"our":[110,138],"classification":[111],"results":[112],"which":[113],"experimented":[114],"algorithms":[117],"based":[118],"on":[119,131,171],"computation":[120,187],"time":[121],"accuracy.":[123],"addition":[125],"applying":[127],"algorithms,":[129],"experiments":[130],"various":[132],"models":[134],"were":[135],"applied":[136],"data":[139,170],"upsample":[140],"method":[141],"balancing":[143],"labels.":[146],"As":[147],"result":[149,158],"of":[150,161,167,186],"binary":[152],"classification,":[153],"LSTM":[154],"achieves":[155],"best":[157],"terms":[160,185],"accuracy,":[162],"positive":[165],"effect":[166],"upsampled":[169],"accuracy":[172],"has":[173],"been":[174],"observed.":[175],"LightGBM":[176],"was":[177],"algorithm":[179],"highest":[182],"performance":[183],"time.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}