{"id":"https://openalex.org/W2547581361","doi":"https://doi.org/10.1007/978-981-10-1627-1_39","title":"The Analysis of KDD-Parameters to Develop an Intrusion Detection System\u00a0Based on Neural Network","display_name":"The Analysis of KDD-Parameters to Develop an Intrusion Detection System\u00a0Based on Neural Network","publication_year":2016,"publication_date":"2016-11-03","ids":{"openalex":"https://openalex.org/W2547581361","doi":"https://doi.org/10.1007/978-981-10-1627-1_39","mag":"2547581361"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-10-1627-1_39","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-10-1627-1_39","pdf_url":null,"source":{"id":"https://openalex.org/S4210179954","display_name":"Lecture notes in electrical engineering","issn_l":"1876-1100","issn":["1876-1100","1876-1119"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Electrical Engineering","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-981-10-1627-1_39","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013759036","display_name":"Ilhame El Farissi","orcid":"https://orcid.org/0000-0003-4645-2355"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ilhame El Farissi","raw_affiliation_strings":["Laboratory LSE2I, National School of Applied Sciences, Oujda, Morocco"],"affiliations":[{"raw_affiliation_string":"Laboratory LSE2I, National School of Applied Sciences, Oujda, Morocco","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009146356","display_name":"Sara Chadli","orcid":"https://orcid.org/0000-0001-9442-2703"},"institutions":[{"id":"https://openalex.org/I4210108110","display_name":"Mohamed I University","ror":"https://ror.org/01ejxf797","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210108110"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Sara Chadli","raw_affiliation_strings":["Laboratory Electronics and Systems, Sciences Faculty, Mohammed First University, Oujda, Morocco"],"affiliations":[{"raw_affiliation_string":"Laboratory Electronics and Systems, Sciences Faculty, Mohammed First University, Oujda, Morocco","institution_ids":["https://openalex.org/I4210108110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020369228","display_name":"Mohamed Emharraf","orcid":"https://orcid.org/0000-0002-9361-3927"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Emharraf","raw_affiliation_strings":["Laboratory LSE2I, National School of Applied Sciences, Oujda, Morocco"],"affiliations":[{"raw_affiliation_string":"Laboratory LSE2I, National School of Applied Sciences, Oujda, Morocco","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021543164","display_name":"M. Saber","orcid":"https://orcid.org/0000-0002-6537-4359"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammed Saber","raw_affiliation_strings":["Laboratory LSE2I, National School of Applied Sciences, Oujda, Morocco"],"affiliations":[{"raw_affiliation_string":"Laboratory LSE2I, National School of Applied Sciences, Oujda, Morocco","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009146356"],"corresponding_institution_ids":["https://openalex.org/I4210108110"],"apc_list":null,"apc_paid":null,"fwci":0.5159,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70503812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"491","last_page":"503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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":0.9984999895095825,"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":0.9983000159263611,"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/intrusion-detection-system","display_name":"Intrusion detection system","score":0.8587381839752197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7254427671432495},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7021101117134094},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6586418151855469},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6200005412101746},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4967880845069885},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.494660347700119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4806605577468872},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46541881561279297},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07897353172302246}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.8587381839752197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254427671432495},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7021101117134094},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6586418151855469},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6200005412101746},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4967880845069885},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.494660347700119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4806605577468872},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46541881561279297},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07897353172302246},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-10-1627-1_39","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-10-1627-1_39","pdf_url":null,"source":{"id":"https://openalex.org/S4210179954","display_name":"Lecture notes in electrical engineering","issn_l":"1876-1100","issn":["1876-1100","1876-1119"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Electrical Engineering","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-981-10-1627-1_39","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-10-1627-1_39","pdf_url":null,"source":{"id":"https://openalex.org/S4210179954","display_name":"Lecture notes in electrical engineering","issn_l":"1876-1100","issn":["1876-1100","1876-1119"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Electrical Engineering","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1593597372","https://openalex.org/W1963911016","https://openalex.org/W1972783868","https://openalex.org/W1995678176","https://openalex.org/W2007087405","https://openalex.org/W2042816384","https://openalex.org/W2043272385","https://openalex.org/W2093931563","https://openalex.org/W2136087862","https://openalex.org/W2183092052","https://openalex.org/W2212753854","https://openalex.org/W2399474045","https://openalex.org/W2810087077"],"related_works":["https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W4280645561"],"abstract_inverted_index":{"The":[0,119],"intrusion":[1,134],"Detection":[2],"System":[3],"(IDS)":[4],"is":[5,24,32,87],"designed":[6],"to":[7,18,26,34,64,81,89,113,149,158],"protect":[8],"a":[9,12,28],"computer":[10],"or":[11],"network":[13,50],"by":[14,53,136],"detecting":[15],"malicious":[16],"attempts":[17],"storm":[19],"the":[20,59,65,76,83,92,107,110,116,129,144,164],"system.":[21],"Therefore,":[22],"it":[23,86],"important":[25,94],"develop":[27,159],"flexible":[29],"IDS":[30,45,84,165],"which":[31],"able":[33],"detect":[35],"attacks":[36],"with":[37],"best":[38],"performance.":[39],"In":[40,79,98],"recent":[41],"researches,":[42],"most":[43,93,130],"of":[44,69,104],"are":[46,71,101],"based":[47],"on":[48,127],"neural":[49,60],"and":[51,73,95,115,140,142,160],"alimented":[52],"KDD":[54,105],"data.":[55],"Which":[56],"means":[57],"that":[58,152],"networks":[61],"inputs":[62],"correspond":[63],"KDD-parameters.":[66],"However,":[67],"some":[68],"KDD-parameters":[70],"meaningless":[72,145],"can":[74],"increase":[75],"detection":[77,135],"rate.":[78],"order":[80],"optimize":[82],"performance,":[85],"primordial":[88],"exploit":[90],"uniquely":[91],"crucial":[96],"parameters.":[97],"fact,":[99],"there":[100],"three":[102],"categories":[103],"attributes;":[106],"basic":[108],"attributes,":[109],"parameters":[111,132],"relating":[112],"content":[114],"time-based":[117],"ones.":[118],"study":[120],"carried":[121],"out":[122],"in":[123,133,166],"this":[124],"work":[125],"consists":[126],"selecting":[128],"efficient":[131],"demonstrating":[137],"their":[138],"utility":[139],"performance":[141],"neglecting":[143],"attributes.":[146],"It":[147],"has":[148,155],"be":[150],"emphasized":[151],"MATLAB":[153],"tool":[154],"been":[156],"used":[157],"put":[161],"into":[162],"practice":[163],"question.":[167]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
