{"id":"https://openalex.org/W2012600498","doi":"https://doi.org/10.1109/ijcnn.2013.6706774","title":"Cognitive clustering algorithm for efficient cybersecurity applications","display_name":"Cognitive clustering algorithm for efficient cybersecurity applications","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2012600498","doi":"https://doi.org/10.1109/ijcnn.2013.6706774","mag":"2012600498"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2013.6706774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","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/A5011829386","display_name":"R\u00f3bert Kozma","orcid":"https://orcid.org/0000-0001-7011-5768"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Robert Kozma","raw_affiliation_strings":["Department of Mathematical Sciences, University of Memphis, Memphis, TN, USA","Dept. of Math. Sci., Univ. of Memphis, Memphis, TN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, University of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]},{"raw_affiliation_string":"Dept. of Math. Sci., Univ. of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047073710","display_name":"Jo\u00e3o Lu\u00eds Garcia Rosa","orcid":"https://orcid.org/0000-0002-9491-9434"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]},{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR","US"],"is_corresponding":false,"raw_author_name":"Joao Luis G. Rosa","raw_affiliation_strings":["University of Sao Paulo, Brazil","Dept. of Math. Sci., Univ. of Memphis, Memphis, TN, USA"],"affiliations":[{"raw_affiliation_string":"University of Sao Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"Dept. of Math. Sci., Univ. of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108426892","display_name":"Denis R. M. Piazentin","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Denis R. M. Piazentin","raw_affiliation_strings":["University of Sao Paulo, Brazil","University of Sa\u0303o Paulo, Sa\u0303o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Sao Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"University of Sa\u0303o Paulo, Sa\u0303o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011829386"],"corresponding_institution_ids":["https://openalex.org/I94658018"],"apc_list":null,"apc_paid":null,"fwci":2.2727,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87967809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.993399977684021,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8403693437576294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7997457981109619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4831659197807312},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.4819035828113556},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45412296056747437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4434359073638916},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43569353222846985},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10672160983085632}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8403693437576294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7997457981109619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4831659197807312},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.4819035828113556},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45412296056747437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4434359073638916},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43569353222846985},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10672160983085632},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2013.6706774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1534891282","https://openalex.org/W1982316754","https://openalex.org/W1990281071","https://openalex.org/W1995113755","https://openalex.org/W2051224630","https://openalex.org/W2078880612","https://openalex.org/W2108323654","https://openalex.org/W2127048411","https://openalex.org/W2127578227","https://openalex.org/W2130875964","https://openalex.org/W2155461593","https://openalex.org/W2164337336","https://openalex.org/W3102641634","https://openalex.org/W4212961956"],"related_works":["https://openalex.org/W2286391053","https://openalex.org/W2982600058","https://openalex.org/W1963486701","https://openalex.org/W2312483540","https://openalex.org/W4249477090","https://openalex.org/W191745111","https://openalex.org/W1522083559","https://openalex.org/W2007570603","https://openalex.org/W2808224918","https://openalex.org/W2773679836"],"abstract_inverted_index":{"Cyber":[0],"security":[1],"is":[2,24,80],"an":[3],"important":[4],"issue":[5],"in":[6,51,60],"today's":[7],"global":[8],"computer":[9],"networks.":[10],"Advanced":[11],"clustering":[12,83],"methods":[13,84],"are":[14,36],"relevant":[15],"for":[16,76],"efficient":[17],"data":[18,98],"mining":[19],"over":[20],"the":[21,95],"web.":[22],"KIII":[23,55,75,87],"a":[25,52,71],"biologically":[26],"plausible":[27],"neural":[28],"network":[29],"model.":[30],"In":[31,66],"its":[32],"multi-layer":[33],"architecture":[34],"there":[35],"excitatory":[37],"and":[38,45,62],"inhibitory":[39],"neurons,":[40],"which":[41],"present":[42],"lateral,":[43],"feedforward,":[44],"delayed":[46],"feedback":[47],"connections":[48],"between":[49],"layers":[50],"massive":[53],"way.":[54],"has":[56],"been":[57],"successfully":[58],"employed":[59],"classification":[61],"pattern":[63],"recognition":[64],"tasks.":[65],"this":[67],"work":[68],"we":[69],"develop":[70],"methodology":[72],"to":[73,89],"use":[74],"community":[77],"detection.":[78],"It":[79],"shown":[81],"that":[82,85],"employ":[86],"related":[88],"cybersecurity":[90],"achieve":[91],"better":[92],"results,":[93],"despite":[94],"amount":[96],"of":[97],"available":[99],"by":[100],"such":[101],"application.":[102]},"counts_by_year":[{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}