{"id":"https://openalex.org/W4417106481","doi":"https://doi.org/10.1177/18724981251385295","title":"A feature selection-based method for SQL injection detection using machine learning algorithms","display_name":"A feature selection-based method for SQL injection detection using machine learning algorithms","publication_year":2025,"publication_date":"2025-11-01","ids":{"openalex":"https://openalex.org/W4417106481","doi":"https://doi.org/10.1177/18724981251385295"},"language":"en","primary_location":{"id":"doi:10.1177/18724981251385295","is_oa":false,"landing_page_url":"https://doi.org/10.1177/18724981251385295","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"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":"Intelligent Decision Technologies","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/A5028377757","display_name":"Bahman Arasteh","orcid":"https://orcid.org/0000-0001-5202-6315"},"institutions":[{"id":"https://openalex.org/I113330528","display_name":"Khazar University","ror":"https://ror.org/014te7048","country_code":"AZ","type":"education","lineage":["https://openalex.org/I113330528"]},{"id":"https://openalex.org/I146367977","display_name":"Applied Science Private University","ror":"https://ror.org/01ah6nb52","country_code":"JO","type":"education","lineage":["https://openalex.org/I146367977"]},{"id":"https://openalex.org/I4210121333","display_name":"Istinye University","ror":"https://ror.org/03081nz23","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210121333"]}],"countries":["AZ","JO","TR"],"is_corresponding":true,"raw_author_name":"Bahman Arasteh","raw_affiliation_strings":["Applied Science Research Center, Applied Science Private University, Amman, Jordan","Department of Computer Science, Khazar University, Baku, Azerbaijan","Faculty of Engineering and Natural Science, Istinye University"],"affiliations":[{"raw_affiliation_string":"Applied Science Research Center, Applied Science Private University, Amman, Jordan","institution_ids":["https://openalex.org/I146367977"]},{"raw_affiliation_string":"Department of Computer Science, Khazar University, Baku, Azerbaijan","institution_ids":["https://openalex.org/I113330528"]},{"raw_affiliation_string":"Faculty of Engineering and Natural Science, Istinye University","institution_ids":["https://openalex.org/I4210121333"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081253819","display_name":"Seyed Salar Sefati","orcid":"https://orcid.org/0000-0002-7208-3576"},"institutions":[{"id":"https://openalex.org/I4210121333","display_name":"Istinye University","ror":"https://ror.org/03081nz23","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210121333"]},{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO","TR"],"is_corresponding":false,"raw_author_name":"Seyed Salar Sefati","raw_affiliation_strings":["Faculty of Engineering and Natural Science, Istinye University","Telecommunications and Information Technology, National University for Science and Technology POLITEHNICA Bucharest, 060042 Bucuresti, Romania"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Natural Science, Istinye University","institution_ids":["https://openalex.org/I4210121333"]},{"raw_affiliation_string":"Telecommunications and Information Technology, National University for Science and Technology POLITEHNICA Bucharest, 060042 Bucuresti, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103037945","display_name":"Mohammad Bagher Karimi","orcid":"https://orcid.org/0000-0003-0081-041X"},"institutions":[{"id":"https://openalex.org/I4210108073","display_name":"Cappadocia University","ror":"https://ror.org/01zx17h33","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210108073"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mohammadbagher Karimi","raw_affiliation_strings":["Department of Software Development, Faculty of Computer and Information Technology, Cappadocia University, Nev\u015fehir, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Department of Software Development, Faculty of Computer and Information Technology, Cappadocia University, Nev\u015fehir, T\u00fcrkiye","institution_ids":["https://openalex.org/I4210108073"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011436316","display_name":"\u0130brahim Furkan \u0130nce","orcid":"https://orcid.org/0000-0003-1570-875X"},"institutions":[{"id":"https://openalex.org/I8666313","display_name":"Beykent University","ror":"https://ror.org/03dcvf827","country_code":"TR","type":"education","lineage":["https://openalex.org/I8666313"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ibrahim Furkan Ince","raw_affiliation_strings":["Department of Software Development, Faculty of Arts and Sciences, Beykent University, Istanbul, Turkiye"],"affiliations":[{"raw_affiliation_string":"Department of Software Development, Faculty of Arts and Sciences, Beykent University, Istanbul, Turkiye","institution_ids":["https://openalex.org/I8666313"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028377757"],"corresponding_institution_ids":["https://openalex.org/I113330528","https://openalex.org/I146367977","https://openalex.org/I4210121333"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51704904,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"6","first_page":"3939","last_page":"3956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12479","display_name":"Web Application Security Vulnerabilities","score":0.9700999855995178,"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"}},"topics":[{"id":"https://openalex.org/T12479","display_name":"Web Application Security Vulnerabilities","score":0.9700999855995178,"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/T11644","display_name":"Spam and Phishing Detection","score":0.0044999998062849045,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.0034000000450760126,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7860000133514404},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6434000134468079},{"id":"https://openalex.org/keywords/sql-injection","display_name":"SQL injection","score":0.5313000082969666},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.4844000041484833},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.45570001006126404},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.43540000915527344},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4147000014781952},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3935000002384186}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.829200029373169},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7860000133514404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.777400016784668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7738999724388123},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6434000134468079},{"id":"https://openalex.org/C150451098","wikidata":"https://www.wikidata.org/wiki/Q506059","display_name":"SQL injection","level":5,"score":0.5313000082969666},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.4844000041484833},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.45570001006126404},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.43540000915527344},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4147000014781952},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3935000002384186},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.3799999952316284},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.37599998712539673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36880001425743103},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34850001335144043},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3172000050544739},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C50292564","wikidata":"https://www.wikidata.org/wiki/Q2462783","display_name":"Computational learning theory","level":3,"score":0.25769999623298645},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.250900000333786},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/18724981251385295","is_oa":false,"landing_page_url":"https://doi.org/10.1177/18724981251385295","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"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":"Intelligent Decision Technologies","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":16,"referenced_works":["https://openalex.org/W2613291502","https://openalex.org/W3000442951","https://openalex.org/W3105137840","https://openalex.org/W3114640095","https://openalex.org/W4309648563","https://openalex.org/W4317566557","https://openalex.org/W4319083672","https://openalex.org/W4385727247","https://openalex.org/W4390756245","https://openalex.org/W4392192782","https://openalex.org/W4396909800","https://openalex.org/W4402636073","https://openalex.org/W4403791800","https://openalex.org/W4406292844","https://openalex.org/W4408357631","https://openalex.org/W4411640489"],"related_works":[],"abstract_inverted_index":{"SQL":[0,28],"injection":[1,29],"(SQLi)":[2,30],"is":[3,75,181],"a":[4,51,70,95],"serious":[5],"security":[6,188],"threat":[7],"that":[8,77,167],"allows":[9],"attackers":[10],"to":[11,104],"access":[12],"and":[13,40,102,136,161,184],"manipulate":[14],"databases":[15],"through":[16],"malicious":[17],"input.":[18],"Machine":[19],"learning":[20,83,115,174],"algorithms":[21],"have":[22],"shown":[23],"strong":[24],"potential":[25],"for":[26,186],"detecting":[27],"attacks.":[31],"However,":[32],"their":[33],"performance":[34],"depends":[35],"heavily":[36],"on":[37],"the":[38,43,56,64,106,120,148,158],"quality":[39],"relevance":[41],"of":[42,61,147],"features":[44,62,90,109],"used":[45],"in":[46,54,153],"training.":[47,112],"Feature":[48],"selection":[49,80,171],"plays":[50],"key":[52],"role":[53],"identifying":[55],"most":[57,107],"effective,":[58,182],"minimal":[59],"set":[60],"from":[63],"SQLi":[65,72,177],"dataset.":[66],"In":[67],"this":[68],"study,":[69],"hybrid":[71,96],"detection":[73],"method":[74,126],"proposed":[76,125],"combines":[78],"feature":[79,122,154,170],"with":[81,131,172],"machine":[82,114,173],"algorithms.":[84],"A":[85],"real-world":[86,187],"dataset":[87],"containing":[88],"13":[89],"was":[91,100],"first":[92],"developed.":[93],"Then,":[94],"Horse":[97],"Herd":[98],"Optimizer":[99],"developed":[101],"applied":[103],"select":[105],"influential":[108],"before":[110],"model":[111],"Several":[113],"classifiers":[116],"were":[117,141],"trained":[118],"using":[119,143],"optimal":[121],"set.":[123],"The":[124,151,164],"achieved":[127],"high":[128],"predictive":[129],"performance,":[130],"99.49%":[132],"accuracy,":[133],"99.62%":[134],"sensitivity,":[135],"99.00%":[137],"F1-score.":[138],"These":[139],"results":[140],"obtained":[142],"only":[144],"about":[145],"45%":[146],"original":[149],"features.":[150],"reduction":[152],"size":[155],"also":[156],"improved":[157],"model's":[159],"efficiency":[160],"training":[162],"speed.":[163],"findings":[165],"show":[166],"combining":[168],"intelligent":[169],"significantly":[175],"enhances":[176],"detection.":[178],"This":[179],"approach":[180],"scalable,":[183],"suitable":[185],"applications.":[189]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-08T00:00:00"}