{"id":"https://openalex.org/W3023298000","doi":"https://doi.org/10.1145/3341105.3373851","title":"An analytics-based method for performance anomaly classification in cyber-physical systems","display_name":"An analytics-based method for performance anomaly classification in cyber-physical systems","publication_year":2020,"publication_date":"2020-03-30","ids":{"openalex":"https://openalex.org/W3023298000","doi":"https://doi.org/10.1145/3341105.3373851","mag":"3023298000"},"language":"en","primary_location":{"id":"doi:10.1145/3341105.3373851","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341105.3373851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://handle.uba.uva.nl/personal/pure/en/publications/an-analyticsbased-method-for-performance-anomaly-classification-in-cyberphysical-systems(40108683-0ffb-4719-b869-815b3b67e4ab).html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073135663","display_name":"Hugo Meyer","orcid":"https://orcid.org/0000-0002-6803-7550"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Hugo Meyer","raw_affiliation_strings":["University of Amsterdam, Amsterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024917187","display_name":"Uraz Odyurt","orcid":"https://orcid.org/0000-0003-1094-0234"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Uraz Odyurt","raw_affiliation_strings":["University of Amsterdam, Amsterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084046597","display_name":"Andy D. Pimentel","orcid":"https://orcid.org/0000-0002-2043-4469"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Andy D. Pimentel","raw_affiliation_strings":["University of Amsterdam, Amsterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105705555","display_name":"Evangelos Paradas","orcid":null},"institutions":[{"id":"https://openalex.org/I927257375","display_name":"ASML (Netherlands)","ror":"https://ror.org/01vxknj13","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210092504","https://openalex.org/I927257375"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Evangelos Paradas","raw_affiliation_strings":["ASML Netherlands B.V., Veldhoven, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASML Netherlands B.V., Veldhoven, The Netherlands","institution_ids":["https://openalex.org/I927257375"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052281062","display_name":"Ignacio Gonz\u00e1lez Alonso","orcid":"https://orcid.org/0000-0002-1368-9850"},"institutions":[{"id":"https://openalex.org/I927257375","display_name":"ASML (Netherlands)","ror":"https://ror.org/01vxknj13","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210092504","https://openalex.org/I927257375"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ignacio Gonzalez Alonso","raw_affiliation_strings":["ASML Netherlands B.V., Veldhoven, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASML Netherlands B.V., Veldhoven, The Netherlands","institution_ids":["https://openalex.org/I927257375"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"210","last_page":"217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":1.0,"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/T12127","display_name":"Software System Performance and Reliability","score":1.0,"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":0.9968000054359436,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.791204571723938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7766194343566895},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5900561809539795},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.5814799070358276},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5734437108039856},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5695796012878418},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.5508803725242615},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.5374323725700378},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.41809841990470886},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4147736132144928},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4054013788700104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36947327852249146}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.791204571723938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7766194343566895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5900561809539795},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.5814799070358276},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5734437108039856},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5695796012878418},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.5508803725242615},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.5374323725700378},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.41809841990470886},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4147736132144928},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4054013788700104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36947327852249146},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3341105.3373851","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341105.3373851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/40108683-0ffb-4719-b869-815b3b67e4ab","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/an-analyticsbased-method-for-performance-anomaly-classification-in-cyberphysical-systems(40108683-0ffb-4719-b869-815b3b67e4ab).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Meyer, H, Odyurt, U, Pimentel, A D, Paradas, E & Gonzalez Alonso, I 2020, An analytics-based method for performance anomaly classification in cyber-physical systems. in The 35th Annual ACM Symposium on Applied Computing : Brno, Czech Republic, March 30-April 3, 2020. Association for Computing Machinery, New York, pp. 210-217, 35th Annual ACM Symposium on Applied Computing, SAC 2020, Brno, Czech Republic, 30/03/20. https://doi.org/10.1145/3341105.3373851","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:dare.uva.nl:openaire/40108683-0ffb-4719-b869-815b3b67e4ab","is_oa":true,"landing_page_url":"https://hdl.handle.net/11245.1/40108683-0ffb-4719-b869-815b3b67e4ab","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Meyer, H, Odyurt, U, Pimentel, A D, Paradas, E & Gonzalez Alonso, I 2020, An analytics-based method for performance anomaly classification in cyber-physical systems. in The 35th Annual ACM Symposium on Applied Computing : Brno, Czech Republic, March 30-April 3, 2020. Association for Computing Machinery, New York, pp. 210-217, 35th Annual ACM Symposium on Applied Computing, SAC 2020, Brno, Czech Republic, 30/03/20. https://doi.org/10.1145/3341105.3373851","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:dare.uva.nl:publications/40108683-0ffb-4719-b869-815b3b67e4ab","is_oa":false,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/an-analyticsbased-method-for-performance-anomaly-classification-in-cyberphysical-systems(40108683-0ffb-4719-b869-815b3b67e4ab).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/40108683-0ffb-4719-b869-815b3b67e4ab","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/an-analyticsbased-method-for-performance-anomaly-classification-in-cyberphysical-systems(40108683-0ffb-4719-b869-815b3b67e4ab).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Meyer, H, Odyurt, U, Pimentel, A D, Paradas, E & Gonzalez Alonso, I 2020, An analytics-based method for performance anomaly classification in cyber-physical systems. in The 35th Annual ACM Symposium on Applied Computing : Brno, Czech Republic, March 30-April 3, 2020. Association for Computing Machinery, New York, pp. 210-217, 35th Annual ACM Symposium on Applied Computing, SAC 2020, Brno, Czech Republic, 30/03/20. https://doi.org/10.1145/3341105.3373851","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1417910379","display_name":"Interactive DSL for Composable EFB Adaptation using Bi-simulation and Extrinsic Coordination (IDAPT)","funder_award_id":"14208","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W159719520","https://openalex.org/W1817561967","https://openalex.org/W1943383135","https://openalex.org/W2003797551","https://openalex.org/W2014123937","https://openalex.org/W2057462363","https://openalex.org/W2065677538","https://openalex.org/W2074380750","https://openalex.org/W2077099824","https://openalex.org/W2108139438","https://openalex.org/W2114936722","https://openalex.org/W2122111042","https://openalex.org/W2122646361","https://openalex.org/W2137576376","https://openalex.org/W2493990996","https://openalex.org/W2911964244","https://openalex.org/W2923417991","https://openalex.org/W2968559666","https://openalex.org/W4232507337","https://openalex.org/W4241872025","https://openalex.org/W6678078930"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"The":[0,19],"analysis":[1],"and":[2,35,87,95,102,128],"correct":[3],"categorisation":[4],"of":[5,22,29,33,44,60,72,106,126,155],"software":[6,31,45,61],"performance":[7,24,46,58,75,108,132,159],"anomalies":[8,133],"is":[9,124],"a":[10,65,111,140],"major":[11],"challenge":[12],"in":[13,64,118],"current":[14],"industrial":[15,67],"Cyber-Physical":[16],"Systems":[17],"(CPS).":[18],"automated":[20],"evaluation":[21],"runtime":[23],"metrics":[25],"provides":[26],"an":[27,50],"overview":[28],"the":[30,42,104],"behaviour":[32,59],"CPS":[34],"may":[36],"allow":[37],"discovering":[38],"or":[39],"even":[40],"predicting":[41],"occurrence":[43],"anomalies.":[47,160],"We":[48,97,116],"present":[49],"approach":[51,70],"to":[52,134,153],"automatically":[53],"identify":[54],"deviations":[55],"from":[56,139],"expected":[57],"processes":[62],"running":[63],"distributed":[66],"CPS.":[68],"Our":[69],"consists":[71],"collecting":[73],"process":[74,85],"signatures,":[76],"using":[77],"regression":[78],"modelling":[79],"techniques.":[80],"This":[81],"involves":[82],"determining":[83],"per":[84],"signatures":[86],"signature":[88,112],"violations,":[89],"enabling":[90],"system":[91,107],"anomaly":[92,109],"type":[93,105],"detection":[94],"classification.":[96],"evaluate":[98],"different":[99],"classification":[100],"algorithms":[101],"predict":[103],"that":[110,121,148],"violation":[113],"can":[114,150],"provoke.":[115],"demonstrate":[117],"our":[119,122],"experiment":[120],"design":[123],"capable":[125],"detecting":[127],"classifying":[129,158],"synthetically":[130],"introduced":[131],"real":[135,141],"execution":[136],"tracing":[137],"data":[138],"semiconductor":[142],"photolithography":[143],"machine.":[144],"Initial":[145],"results":[146],"show":[147],"we":[149],"achieve":[151],"up":[152],"93%":[154],"accuracy":[156],"when":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}