{"id":"https://openalex.org/W4362701665","doi":"https://doi.org/10.3233/ida-216511","title":"Synthetic dataset generator for anomaly detection in a university environment","display_name":"Synthetic dataset generator for anomaly detection in a university environment","publication_year":2023,"publication_date":"2023-03-15","ids":{"openalex":"https://openalex.org/W4362701665","doi":"https://doi.org/10.3233/ida-216511"},"language":"en","primary_location":{"id":"doi:10.3233/ida-216511","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-216511","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-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/A5023914331","display_name":"Pavel Strnad","orcid":"https://orcid.org/0000-0002-7122-6379"},"institutions":[{"id":"https://openalex.org/I35913352","display_name":"Prague University of Economics and Business","ror":"https://ror.org/029ecwj92","country_code":"CZ","type":"education","lineage":["https://openalex.org/I35913352"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Pavel Strnad","raw_affiliation_strings":["Department of Information and Knowledge Engineering, Prague University of Economics and Business, Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Knowledge Engineering, Prague University of Economics and Business, Prague, Czech Republic","institution_ids":["https://openalex.org/I35913352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023261370","display_name":"Luk\u00e1\u0161 \u0160varc","orcid":"https://orcid.org/0000-0001-9564-7904"},"institutions":[{"id":"https://openalex.org/I35913352","display_name":"Prague University of Economics and Business","ror":"https://ror.org/029ecwj92","country_code":"CZ","type":"education","lineage":["https://openalex.org/I35913352"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Luk\u00e1\u0161 \u0160varc","raw_affiliation_strings":["Department of Information and Knowledge Engineering, Prague University of Economics and Business, Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Knowledge Engineering, Prague University of Economics and Business, Prague, Czech Republic","institution_ids":["https://openalex.org/I35913352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037266804","display_name":"Petr Berka","orcid":"https://orcid.org/0000-0003-0464-2257"},"institutions":[{"id":"https://openalex.org/I35913352","display_name":"Prague University of Economics and Business","ror":"https://ror.org/029ecwj92","country_code":"CZ","type":"education","lineage":["https://openalex.org/I35913352"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Petr Berka","raw_affiliation_strings":["Department of Information and Knowledge Engineering, Prague University of Economics and Business, Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Knowledge Engineering, Prague University of Economics and Business, Prague, Czech Republic","institution_ids":["https://openalex.org/I35913352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023914331"],"corresponding_institution_ids":["https://openalex.org/I35913352"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03551998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":"2","first_page":"417","last_page":"422"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9854000210762024,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9632999897003174,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/generator","display_name":"Generator (circuit theory)","score":0.7899055480957031},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7873947620391846},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6641492247581482},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.636381983757019},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6297358870506287},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5784956216812134},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.0592612624168396}],"concepts":[{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.7899055480957031},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7873947620391846},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6641492247581482},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.636381983757019},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6297358870506287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5784956216812134},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0592612624168396},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-216511","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-216511","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4283314094","https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969"],"abstract_inverted_index":{"This":[0],"article":[1],"introduces":[2],"a":[3],"recently":[4],"developed":[5],"synthetic":[6],"dataset":[7],"generator,":[8],"which":[9],"contains":[10,51],"anonymised":[11,48],"data":[12,34,42,49],"from":[13],"the":[14,41,70],"Prague":[15],"University":[16],"of":[17,40,64],"Economics":[18],"and":[19,28,36],"Business":[20],"information":[21],"system":[22,86],"logs.":[23,87],"The":[24,47,88],"generator":[25],"is":[26,29],"opensource":[27],"able":[30],"to":[31,79,94],"scale":[32],"this":[33],"time-wise":[35],"also":[37],"perform":[38],"injection":[39],"with":[43,100],"cyberattackers\u2019":[44],"behaviour":[45,53,58,67,82],"patterns.":[46],"still":[50],"user":[52],"patterns;":[54],"therefore,":[55],"individual":[56],"anomalous":[57],"can":[59],"be":[60],"detected.":[61],"Different":[62],"types":[63],"real":[65],"attack":[66],"patterns":[68],"in":[69,83],"university":[71],"environment":[72],"have":[73],"been":[74],"selected;":[75],"they":[76],"are":[77],"used":[78],"demonstrate":[80],"attackers\u2019":[81],"synthetically":[84],"created":[85],"mentioned":[89],"features":[90],"allow":[91],"other":[92],"researchers":[93],"benchmark":[95],"their":[96],"anomaly":[97],"detection":[98],"algorithms":[99],"complex":[101],"data.":[102]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
