{"id":"https://openalex.org/W2914206419","doi":"https://doi.org/10.1109/wincom.2018.8629718","title":"Improving the Intrusion Detection System for NSL-KDD Dataset based on PCA-Fuzzy Clustering-KNN","display_name":"Improving the Intrusion Detection System for NSL-KDD Dataset based on PCA-Fuzzy Clustering-KNN","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2914206419","doi":"https://doi.org/10.1109/wincom.2018.8629718","mag":"2914206419"},"language":"en","primary_location":{"id":"doi:10.1109/wincom.2018.8629718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom.2018.8629718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 6th International Conference on Wireless Networks and Mobile Communications (WINCOM)","raw_type":"proceedings-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/A5050123066","display_name":"Hafsa Benaddi","orcid":"https://orcid.org/0000-0003-2489-0637"},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Hafsa BENADDI","raw_affiliation_strings":["Ibn Tofail University FSK/MISC Lab. Morocco"],"affiliations":[{"raw_affiliation_string":"Ibn Tofail University FSK/MISC Lab. Morocco","institution_ids":["https://openalex.org/I3121676899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036440733","display_name":"Khalil Ibrahimi","orcid":"https://orcid.org/0000-0002-9682-9555"},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Khalil IBRAHIMI","raw_affiliation_strings":["Ibn Tofail University FSK/MISC Lab. Morocco"],"affiliations":[{"raw_affiliation_string":"Ibn Tofail University FSK/MISC Lab. Morocco","institution_ids":["https://openalex.org/I3121676899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060341203","display_name":"Abderrahim Benslimane","orcid":"https://orcid.org/0000-0001-9307-6132"},"institutions":[{"id":"https://openalex.org/I198415970","display_name":"Universit\u00e9 d'Avignon et des Pays de Vaucluse","ror":"https://ror.org/00mfpxb84","country_code":"FR","type":"education","lineage":["https://openalex.org/I198415970"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abderrahim BENSLIMANE","raw_affiliation_strings":["University of Avignon CERI/LIA, France"],"affiliations":[{"raw_affiliation_string":"University of Avignon CERI/LIA, France","institution_ids":["https://openalex.org/I198415970"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050123066"],"corresponding_institution_ids":["https://openalex.org/I3121676899"],"apc_list":null,"apc_paid":null,"fwci":4.2918,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.9485732,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9961000084877014,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9890999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8069392442703247},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7047936916351318},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.682529091835022},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.675197422504425},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5144272446632385},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5130671262741089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5122105479240417},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5011093616485596},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.49866437911987305},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.46477583050727844},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4429525136947632},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4271913468837738},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4213816225528717},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40605857968330383},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36905479431152344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069392442703247},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7047936916351318},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.682529091835022},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.675197422504425},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5144272446632385},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5130671262741089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5122105479240417},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5011093616485596},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.49866437911987305},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.46477583050727844},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4429525136947632},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4271913468837738},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4213816225528717},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40605857968330383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36905479431152344},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wincom.2018.8629718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom.2018.8629718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 6th International Conference on Wireless Networks and Mobile Communications (WINCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1545302662","https://openalex.org/W1994615541","https://openalex.org/W1997741525","https://openalex.org/W2040895929","https://openalex.org/W2053481403","https://openalex.org/W2082768060","https://openalex.org/W2097034581","https://openalex.org/W2140543436","https://openalex.org/W2147067398","https://openalex.org/W2157665255","https://openalex.org/W2333419896","https://openalex.org/W2778028762","https://openalex.org/W4366454906","https://openalex.org/W6683235873","https://openalex.org/W6852745194"],"related_works":["https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2355007334","https://openalex.org/W2998914036","https://openalex.org/W2388326001","https://openalex.org/W2390009783","https://openalex.org/W4254602698","https://openalex.org/W2394461323","https://openalex.org/W2349441905","https://openalex.org/W2361044160"],"abstract_inverted_index":{"Nowadays,":[0],"information":[1,12,38],"security":[2],"is":[3,127],"extremely":[4],"critical":[5],"issues":[6],"for":[7,121,133],"every":[8],"organization":[9],"to":[10,34,60,102,108,149,173],"protect":[11],"from":[13,39,191],"the":[14,18,31,62,110,151,159,175,186,196],"useless":[15],"data":[16,36,131],"on":[17,56,129],"manipulation":[19],"of":[20,30,45,81,83,112,123,153,164,188],"network":[21],"traffic":[22],"or":[23,37],"intrusion.":[24],"Intrusion":[25],"detection":[26,189],"system":[27],"has":[28],"one":[29],"important":[32],"roles":[33],"prevent":[35],"malicious":[40],"behaviors":[41],"because":[42],"its":[43],"capable":[44],"detecting":[46],"attacks":[47,165],"in":[48,168,171],"several":[49],"available":[50],"environments.":[51],"Thereafter,":[52],"many":[53],"researches":[54],"concentrate":[55],"developing":[57],"new":[58,73],"algorithms":[59],"treat":[61],"Dataset":[63,118,126,142,192],"by":[64,195],"different":[65],"way.":[66],"In":[67],"this":[68],"work,":[69],"we":[70,96,114,139],"suggest":[71],"a":[72],"proposed":[74],"PCA-fuzzy":[75,144],"Clustering-KNN":[76,145],"method":[77],"that":[78],"means":[79],"ensemble":[80],"Analysis":[82],"Principal":[84],"Component":[85],"and":[86,147,178,184],"Fuzzy":[87],"Clustering":[88],"with":[89],"K-Nearest":[90],"Neighbor":[91],"feature":[92],"selection":[93],"technics.":[94],"However,":[95],"perform":[97],"two":[98],"main":[99],"class":[100],"classifications":[101],"construct":[103],"our":[104],"suggested":[105],"model.":[106],"Then,":[107],"check":[109],"robustness":[111],"model":[113],"used":[115,120,132],"as":[116,193],"well-known":[117],"NSL-KDD":[119,141],"analysis":[122],"anomaly.":[124],"This":[125],"based":[128],"benchmark":[130],"intrusion":[134],"detection,":[135],"KDDCup":[136],"1999.":[137],"Therefore,":[138],"analyse":[140],"using":[143,155],"analytic":[146],"try":[148],"define":[150],"performance":[152],"incident":[154],"machine":[156],"learning":[157],"algorithms,":[158],"algorithm":[160],"learns":[161],"what":[162],"type":[163],"are":[166],"found":[167],"which":[169],"classes":[170],"order":[172],"improve":[174],"classification":[176],"accuracy":[177],"reduce":[179],"high":[180],"false":[181],"alarm":[182],"rate":[183,190],"detects":[185],"maximum":[187],"shown":[194],"numerical":[197],"results.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
