{"id":"https://openalex.org/W2231830712","doi":null,"title":"Intrusion detection applications using knowledge discovery and data mining","display_name":"Intrusion detection applications using knowledge discovery and data mining","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2231830712","mag":"2231830712"},"language":"en","primary_location":{"id":"pmh:oai:jyx.jyu.fi:123456789/44755","doi":null,"is_oa":true,"landing_page_url":"http://urn.fi/URN:ISBN:978-951-39-5978-4","pdf_url":"https://jyx.jyu.fi/bitstreams/be446956-eb76-4fcb-b242-1aaca03858f5/download","source":{"id":"https://openalex.org/S4306400563","display_name":"Jyv\u00e4skyl\u00e4 University Digital Archive (University of Jyv\u00e4skyl\u00e4)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I94722563","host_organization_name":"University of Jyv\u00e4skyl\u00e4","host_organization_lineage":["https://openalex.org/I94722563"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"http://purl.org/coar/resource_type/c_db06"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://jyx.jyu.fi/bitstreams/be446956-eb76-4fcb-b242-1aaca03858f5/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054433796","display_name":"Antti Juvonen","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Antti Juvonen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5054433796"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":"205","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9984999895095825,"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":0.9984999895095825,"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":0.0005000000237487257,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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","display_name":"intrusion detection","score":0.9779999852180481},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"anomaly detection","score":0.9309999942779541},{"id":"https://openalex.org/keywords/network-traffic-analysis","display_name":"network traffic analysis","score":0.9020000100135803},{"id":"https://openalex.org/keywords/knowledge-discovery","display_name":"knowledge discovery","score":0.8190000057220459},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.8360000252723694},{"id":"https://openalex.org/keywords/clustering","display_name":"clustering","score":0.9940000176429749},{"id":"https://openalex.org/keywords/false-alarm-reduction","display_name":"false alarm reduction","score":0.6909999847412109},{"id":"https://openalex.org/keywords/high-dimensional-data-visualization","display_name":"high-dimensional data visualization","score":0.8619999885559082},{"id":"https://openalex.org/keywords/real-time-traffic-analysis","display_name":"real-time traffic analysis","score":0.5239999890327454},{"id":"https://openalex.org/keywords/network-security","display_name":"network security","score":0.5640000104904175}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7487726807594299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7390210628509521},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7089341282844543},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.655785858631134},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.6174373626708984},{"id":"https://openalex.org/C137524506","wikidata":"https://www.wikidata.org/wiki/Q2247688","display_name":"Anomaly-based intrusion detection system","level":3,"score":0.5855118036270142},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.50697922706604},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5022168159484863},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4225546717643738},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18360063433647156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1747933030128479}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:jyx.jyu.fi:123456789/44755","doi":null,"is_oa":true,"landing_page_url":"http://urn.fi/URN:ISBN:978-951-39-5978-4","pdf_url":"https://jyx.jyu.fi/bitstreams/be446956-eb76-4fcb-b242-1aaca03858f5/download","source":{"id":"https://openalex.org/S4306400563","display_name":"Jyv\u00e4skyl\u00e4 University Digital Archive (University of Jyv\u00e4skyl\u00e4)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I94722563","host_organization_name":"University of Jyv\u00e4skyl\u00e4","host_organization_lineage":["https://openalex.org/I94722563"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"http://purl.org/coar/resource_type/c_db06"},{"id":"mag:2231830712","doi":null,"is_oa":false,"landing_page_url":"https://jyx.jyu.fi/bitstream/123456789/44755/1/978-951-39-5978-4_vaitos11122014.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:jyx.jyu.fi:123456789/44755","doi":null,"is_oa":true,"landing_page_url":"http://urn.fi/URN:ISBN:978-951-39-5978-4","pdf_url":"https://jyx.jyu.fi/bitstreams/be446956-eb76-4fcb-b242-1aaca03858f5/download","source":{"id":"https://openalex.org/S4306400563","display_name":"Jyv\u00e4skyl\u00e4 University Digital Archive (University of Jyv\u00e4skyl\u00e4)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I94722563","host_organization_name":"University of Jyv\u00e4skyl\u00e4","host_organization_lineage":["https://openalex.org/I94722563"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"http://purl.org/coar/resource_type/c_db06"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307798","display_name":"Nokia","ror":"https://ror.org/04pkc8m17"},{"id":"https://openalex.org/F4320322426","display_name":"Nokia Foundation","ror":"https://ror.org/0401nzk46"},{"id":"https://openalex.org/F4320323168","display_name":"Jyv\u00e4skyl\u00e4n Yliopisto","ror":"https://ror.org/05n3dz165"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2231830712.pdf","grobid_xml":"https://content.openalex.org/works/W2231830712.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W102276202","https://openalex.org/W207045993","https://openalex.org/W1511560695","https://openalex.org/W1540596182","https://openalex.org/W1742512077","https://openalex.org/W1869498718","https://openalex.org/W1908122868","https://openalex.org/W1988918299","https://openalex.org/W1996087849","https://openalex.org/W1996118086","https://openalex.org/W2003231840","https://openalex.org/W2006554089","https://openalex.org/W2007087405","https://openalex.org/W2014569347","https://openalex.org/W2017420094","https://openalex.org/W2028875351","https://openalex.org/W2033626294","https://openalex.org/W2034331023","https://openalex.org/W2034743601","https://openalex.org/W2041836310","https://openalex.org/W2053171205","https://openalex.org/W2071128523","https://openalex.org/W2078396547","https://openalex.org/W2089497633","https://openalex.org/W2099940443","https://openalex.org/W2100567442","https://openalex.org/W2103378897","https://openalex.org/W2108235800","https://openalex.org/W2114737406","https://openalex.org/W2118931532","https://openalex.org/W2121947440","https://openalex.org/W2122646361","https://openalex.org/W2128728535","https://openalex.org/W2132914434","https://openalex.org/W2136520403","https://openalex.org/W2140190241","https://openalex.org/W2152426255","https://openalex.org/W2158635521","https://openalex.org/W2165313080","https://openalex.org/W2165874743","https://openalex.org/W2167023131","https://openalex.org/W2171009857","https://openalex.org/W2190906607","https://openalex.org/W2240026071","https://openalex.org/W2242169049","https://openalex.org/W2294798173","https://openalex.org/W2407823209","https://openalex.org/W2622610444","https://openalex.org/W2678934292","https://openalex.org/W2979473749","https://openalex.org/W3141898517"],"related_works":["https://openalex.org/W2013389316","https://openalex.org/W2353092111","https://openalex.org/W1167196587","https://openalex.org/W48486506","https://openalex.org/W1717252030","https://openalex.org/W2368252263","https://openalex.org/W2363068348","https://openalex.org/W2034743601","https://openalex.org/W2009105221","https://openalex.org/W2129575696"],"abstract_inverted_index":{"Increasing":[0],"network":[1,77,148],"traffic":[2,43,161],"and":[3,7,25,28,45,64,86,98,158,176,181],"introduction":[4],"of":[5,61,66,104,116,136,155,178],"more":[6,8,23,144,160],"complex":[9,24],"web":[10],"services":[11],"creates":[12],"new":[13],"vulnerabilities":[14],"for":[15],"attackers.":[16],"As":[17],"a":[18,82],"result,":[19],"attacks":[20],"have":[21],"become":[22],"unpredictable.":[26],"New":[27],"previously":[29],"unseen":[30],"intrusions":[31],"cannot":[32],"be":[33,140],"detected":[34],"using":[35,81,109],"manual":[36],"signature-based":[37],"detection.":[38,100],"For":[39],"this":[40],"reason,":[41],"automatic":[42],"analysis":[44],"anomaly":[46,99],"intrusion":[47,124],"detection":[48,53],"systems":[49],"are":[50,107,127],"needed.":[51],"Anomaly":[52],"faces":[54],"many":[55],"problems,":[56],"such":[57,120],"as":[58,121,163],"high":[59],"number":[60],"false":[62],"alarms":[63],"lack":[65],"validation":[67],"with":[68],"real":[69,110],"data.":[70,111,131],"This":[71],"thesis":[72],"focuses":[73,172],"on":[74,173],"analyzing":[75,157],"real-world":[76],"log":[78],"data":[79,87,93,138,162],"by":[80,185],"knowledge":[83],"discovery":[84],"process":[85],"mining":[88],"methods.":[89],"The":[90,101,112,150,170],"framework":[91,113,151],"combines":[92],"preprocessing,":[94],"dimensionality":[95],"reduction,":[96],"clustering":[97],"proposed":[102],"parts":[103],"the":[105,130,147,168,179,190],"system":[106],"tested":[108],"is":[114,152,182],"capable":[115,154],"producing":[117],"meaningful":[118],"results,":[119],"detecting":[122],"actual":[123],"attempts":[125],"that":[126],"present":[128],"in":[129,167,189],"In":[132],"addition,":[133],"representative":[134],"visualizations":[135],"high-dimensional":[137],"can":[139],"created":[141,166],"to":[142,146],"provide":[143],"information":[145],"administrator.":[149],"also":[153],"dynamically":[156],"adding":[159],"it\u2019s":[164],"being":[165],"network.":[169],"study":[171],"practical":[174,186],"use":[175],"feasibility":[177],"framework,":[180],"backed":[183],"up":[184],"experiments":[187],"presented":[188],"included":[191],"articles.":[192]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}
