{"id":"https://openalex.org/W2993759142","doi":null,"title":"Stream Data Mining and Anomaly Detection","display_name":"Stream Data Mining and Anomaly Detection","publication_year":2011,"publication_date":"2011-11-29","ids":{"openalex":"https://openalex.org/W2993759142","mag":"2993759142"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.259.798","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.ijcaonline.org/volume34/number9/pxc3875984.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5000495138","display_name":"Mohammadjafar Esmaeili","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Esmaeili Mohammadjafar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5033240849","display_name":"Almadan Arwa","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Almadan Arwa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7843,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76429795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":96},"biblio":{"volume":"34","issue":"9","first_page":"38","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9154999852180481,"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":0.9154999852180481,"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":0.06689999997615814,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.003700000001117587,"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/anomaly-detection","display_name":"anomaly detection","score":0.7919999957084656},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"data stream mining","score":0.9819999933242798},{"id":"https://openalex.org/keywords/network-traffic-monitoring","display_name":"network traffic monitoring","score":0.8989999890327454},{"id":"https://openalex.org/keywords/insider-attacks","display_name":"insider attacks","score":0.7850000262260437},{"id":"https://openalex.org/keywords/information-security","display_name":"information security","score":0.9279999732971191},{"id":"https://openalex.org/keywords/false-positive-reduction","display_name":"false positive reduction","score":0.7549999952316284},{"id":"https://openalex.org/keywords/model-updating","display_name":"model updating","score":0.4410000145435333},{"id":"https://openalex.org/keywords/real-time-monitoring","display_name":"real-time monitoring","score":0.5690000057220459},{"id":"https://openalex.org/keywords/classification-models","display_name":"classification models","score":0.31200000643730164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8335840702056885},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8312387466430664},{"id":"https://openalex.org/C2776633304","wikidata":"https://www.wikidata.org/wiki/Q6038026","display_name":"Insider threat","level":3,"score":0.7390396595001221},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6538183689117432},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6020965576171875},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5921362638473511},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4976945221424103},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.47806861996650696},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.4215722978115082},{"id":"https://openalex.org/C2778971194","wikidata":"https://www.wikidata.org/wiki/Q1664551","display_name":"Insider","level":2,"score":0.4183104932308197},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3047811686992645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22735154628753662},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.259.798","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.ijcaonline.org/volume34/number9/pxc3875984.pdf","raw_type":"text"},{"id":"mag:2993759142","doi":null,"is_oa":false,"landing_page_url":"https://research.ijcaonline.org/volume34/number9/pxc3875984.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4210206007","display_name":"International Journal of Computer Applications","issn_l":"0975-8887","issn":["0975-8887"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core"],"host_organization":"https://openalex.org/P4322545532","host_organization_name":"Foundation of Computer Science","host_organization_lineage":["https://openalex.org/P4322545532"],"host_organization_lineage_names":["Foundation of Computer Science"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computer Applications","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2005769304","https://openalex.org/W2021836472","https://openalex.org/W2050029377","https://openalex.org/W2088674765","https://openalex.org/W2207038651","https://openalex.org/W2678934292"],"related_works":["https://openalex.org/W2741799308","https://openalex.org/W2888412392","https://openalex.org/W2118020642","https://openalex.org/W2067764294","https://openalex.org/W1490354683","https://openalex.org/W2612632658","https://openalex.org/W2144846860","https://openalex.org/W2364005506","https://openalex.org/W4409351285","https://openalex.org/W2110365568"],"abstract_inverted_index":{"Detecting":[0],"anomaly":[1,16,171,193],"behaviors":[2],"is":[3,18,67,136],"one":[4],"of":[5,28,53,59,119,127,156],"the":[6,29,48,54,60,109,130,141,157,160],"most":[7],"challenging":[8],"tasks":[9],"for":[10,112,192],"Information":[11],"Systems":[12],"(IS)":[13],"administrators.":[14],"The":[15,80,116],"behavior":[17,22,45,66],"defined":[19],"as":[20,41,43],"any":[21,44],"from":[23,35,85],"either":[24],"inside":[25],"or":[26,72,89],"outside":[27],"organization\u2019s":[30],"information":[31,56,114],"system":[32],"that":[33,46,182],"deviates":[34],"normal;":[36],"this":[37,174],"includes":[38],"insider":[39],"attacks":[40],"well":[42],"threatens":[47],"confidentiality,":[49],"integrity":[50],"and":[51,103,134,144],"availability":[52],"organization's":[55],"systems.":[57],"One":[58],"strategies":[61],"to":[62,68,139,153,169,178,187],"detect":[63,170],"an":[64],"anomalous":[65],"create":[69],"a":[70,124,180],"clustering":[71],"classification":[73],"model":[74,131,181],"by":[75],"utilizing":[76],"data":[77,88,162,185],"mining":[78,163,186],"methodologies.":[79],"models":[81,99],"could":[82,91,100],"be":[83,92],"generated":[84],"previous":[86],"historical":[87],"it":[90],"based":[93],"on":[94],"current":[95,161],"data.":[96],"Although":[97],"these":[98,121],"identify":[101],"normal":[102],"abnormal":[104],"behavior,":[105],"they":[106,145],"couldn\u2019t":[107],"satisfy":[108],"growing":[110],"demand":[111,138],"better":[113],"security.":[115],"primary":[117],"drawback":[118],"using":[120],"methods":[122],"are":[123],"high":[125,137],"rate":[126],"false":[128],"positive;":[129],"becomes":[132],"outdated":[133],"there":[135],"maintain":[140],"models\u2019":[142],"integrity;":[143],"have":[146,166],"low":[147],"response":[148],"rate.":[149],"This":[150],"study":[151],"attempts":[152],"overcome":[154],"some":[155],"disadvantages":[158],"in":[159],"models,":[164],"which":[165],"been":[167],"used":[168],"behaviors.":[172],"Moreover":[173],"research":[175],"will":[176],"attempt":[177],"introduce":[179],"utilizes":[183],"stream":[184],"actively":[188],"monitor":[189],"network":[190],"traffic":[191],"detection.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2019-12-13T00:00:00"}