{"id":"https://openalex.org/W2118600187","doi":"https://doi.org/10.1109/cimca.2005.1631456","title":"Combining Self-Organizing Map Algorithms for Robust and Scalable Intrusion Detection","display_name":"Combining Self-Organizing Map Algorithms for Robust and Scalable Intrusion Detection","publication_year":2006,"publication_date":"2006-05-25","ids":{"openalex":"https://openalex.org/W2118600187","doi":"https://doi.org/10.1109/cimca.2005.1631456","mag":"2118600187"},"language":"en","primary_location":{"id":"doi:10.1109/cimca.2005.1631456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimca.2005.1631456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)","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/A5089847337","display_name":"\u015eahin Albayrak","orcid":"https://orcid.org/0000-0001-5092-4584"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"S. Albayrak","raw_affiliation_strings":["DAI-Laboratory, Technische Universitat Berlin, Germany","DAI-Labor TU Berlin"],"affiliations":[{"raw_affiliation_string":"DAI-Laboratory, Technische Universitat Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"DAI-Labor TU Berlin","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054427366","display_name":"Christian Scheel","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]},{"id":"https://openalex.org/I4210093367","display_name":"Deutsche Telekom (Germany)","ror":"https://ror.org/00m8prc86","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210093367"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"C. Scheel","raw_affiliation_strings":["Deutsche Telekom AG, Germany","DAI-Labor TU Berlin"],"affiliations":[{"raw_affiliation_string":"Deutsche Telekom AG, Germany","institution_ids":["https://openalex.org/I4210093367"]},{"raw_affiliation_string":"DAI-Labor TU Berlin","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079041762","display_name":"Dragan Z. Milosevic","orcid":"https://orcid.org/0000-0002-5979-2562"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"D. Milosevic","raw_affiliation_strings":["DAI-Laboratory, Technische Universitat Berlin, Germany","DAI-Labor TU Berlin"],"affiliations":[{"raw_affiliation_string":"DAI-Laboratory, Technische Universitat Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"DAI-Labor TU Berlin","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061831072","display_name":"Alexander M\u00fcller","orcid":"https://orcid.org/0000-0003-1365-3265"},"institutions":[{"id":"https://openalex.org/I58534130","display_name":"Deutsche Telekom (United Kingdom)","ror":"https://ror.org/00qxrgg46","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210093367","https://openalex.org/I58534130"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE","GB"],"is_corresponding":false,"raw_author_name":"A. Muller","raw_affiliation_strings":["DAI-Laboratory, Technische Universitat Berlin, Germany","Deutsche Telekom Laboratories,#TAB#"],"affiliations":[{"raw_affiliation_string":"DAI-Laboratory, Technische Universitat Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"Deutsche Telekom Laboratories,#TAB#","institution_ids":["https://openalex.org/I58534130"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089847337"],"corresponding_institution_ids":["https://openalex.org/I4577782"],"apc_list":null,"apc_paid":null,"fwci":2.4143,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.9010403,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"123","last_page":"130"},"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9932000041007996,"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/intrusion-detection-system","display_name":"Intrusion detection system","score":0.8205351829528809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.800305962562561},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7440563440322876},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6440384387969971},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5566965937614441},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5113529562950134},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.5021498203277588},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4918785095214844},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.47991666197776794},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.4392770230770111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37955400347709656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3255777359008789},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.19453543424606323},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13944464921951294},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08940964937210083},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0657624900341034}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.8205351829528809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.800305962562561},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7440563440322876},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6440384387969971},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5566965937614441},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5113529562950134},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.5021498203277588},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4918785095214844},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.47991666197776794},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.4392770230770111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37955400347709656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3255777359008789},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.19453543424606323},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13944464921951294},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08940964937210083},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0657624900341034},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cimca.2005.1631456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimca.2005.1631456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)","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":25,"referenced_works":["https://openalex.org/W26758620","https://openalex.org/W193291750","https://openalex.org/W198545802","https://openalex.org/W219924351","https://openalex.org/W1510953516","https://openalex.org/W1553333136","https://openalex.org/W1556094091","https://openalex.org/W1679913846","https://openalex.org/W1970655212","https://openalex.org/W1982304603","https://openalex.org/W2000892341","https://openalex.org/W2006493416","https://openalex.org/W2055247046","https://openalex.org/W2084044852","https://openalex.org/W2113045410","https://openalex.org/W2114519149","https://openalex.org/W2129624205","https://openalex.org/W2136117679","https://openalex.org/W2157886637","https://openalex.org/W4213332169","https://openalex.org/W4285719527","https://openalex.org/W6601118198","https://openalex.org/W6630436103","https://openalex.org/W6633370541","https://openalex.org/W6677279949"],"related_works":["https://openalex.org/W2376886931","https://openalex.org/W2061466315","https://openalex.org/W2010561419","https://openalex.org/W2374845301","https://openalex.org/W2351448539","https://openalex.org/W1977863481","https://openalex.org/W2384741105","https://openalex.org/W1495178644","https://openalex.org/W2185594426","https://openalex.org/W2377372927"],"abstract_inverted_index":{"In":[0],"the":[1,7,48,60,69,80,96],"field":[2],"of":[3,9,28,37,50,62,71,82],"intrusion":[4],"detection":[5,11,104],"systems,":[6],"aspect":[8],"anomaly":[10,65,103],"is":[12],"very":[13],"important,":[14],"and":[15],"consequently":[16,41],"there":[17],"are":[18],"many":[19],"approaches":[20],"that":[21],"address":[22],"these":[23,38],"security":[24],"issues.":[25],"The":[26,54,75],"usage":[27,61],"self-organizing":[29],"map":[30],"(SOM)":[31],"makes":[32],"a":[33],"foundation":[34],"for":[35,64,100],"some":[36],"approaches,":[39],"which":[40],"often":[42],"have":[43,78],"problems":[44],"to":[45,85,93],"cope":[46],"with":[47,90],"requirements":[49],"huge":[51],"nowadays":[52],"networks.":[53],"proposed":[55],"approach":[56],"focuses":[57],"on":[58],"improving":[59],"SOMs":[63],"detection,":[66],"by":[67],"combining":[68],"strengths":[70],"different":[72,86],"SOM":[73,99],"algorithms.":[74],"performed":[76],"evaluations":[77],"shown":[79],"necessity":[81],"paying":[83],"attention":[84],"aspects,":[87],"coming":[88],"along":[89],"network":[91],"nodes,":[92],"individually":[94],"choose":[95],"best":[97],"matching":[98],"each":[101],"node's":[102]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}