{"id":"https://openalex.org/W3197634927","doi":"https://doi.org/10.1109/csr51186.2021.9527911","title":"Systematic and Efficient Anomaly Detection Framework using Machine Learning on Public ICS Datasets","display_name":"Systematic and Efficient Anomaly Detection Framework using Machine Learning on Public ICS Datasets","publication_year":2021,"publication_date":"2021-07-26","ids":{"openalex":"https://openalex.org/W3197634927","doi":"https://doi.org/10.1109/csr51186.2021.9527911","mag":"3197634927"},"language":"en","primary_location":{"id":"doi:10.1109/csr51186.2021.9527911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr51186.2021.9527911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Cyber Security and Resilience (CSR)","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/A5033712232","display_name":"Millot Baptiste","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137815","display_name":"Naval Group (France)","ror":"https://ror.org/03rks9355","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210137815"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Millot Baptiste","raw_affiliation_strings":["Naval Cyber Laboratory, Naval Group, Ollioules, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Cyber Laboratory, Naval Group, Ollioules, France","institution_ids":["https://openalex.org/I4210137815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047750057","display_name":"Julien Francq","orcid":"https://orcid.org/0000-0002-4604-4522"},"institutions":[{"id":"https://openalex.org/I4210137815","display_name":"Naval Group (France)","ror":"https://ror.org/03rks9355","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210137815"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francq Julien","raw_affiliation_strings":["Naval Cyber Laboratory, Naval Group, Ollioules, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Cyber Laboratory, Naval Group, Ollioules, France","institution_ids":["https://openalex.org/I4210137815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025765851","display_name":"Franck Sicard","orcid":"https://orcid.org/0000-0002-7263-7604"},"institutions":[{"id":"https://openalex.org/I4210137815","display_name":"Naval Group (France)","ror":"https://ror.org/03rks9355","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210137815"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sicard Franck","raw_affiliation_strings":["Naval Cyber Laboratory, Naval Group, Ollioules, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Cyber Laboratory, Naval Group, Ollioules, France","institution_ids":["https://openalex.org/I4210137815"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5555,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66233047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"292","last_page":"297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9988999962806702,"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":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.7228301167488098},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7215616106987},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6956016421318054},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.504041850566864},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.47086039185523987},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4590098261833191},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39210495352745056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39192628860473633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7228301167488098},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7215616106987},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6956016421318054},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.504041850566864},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.47086039185523987},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4590098261833191},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39210495352745056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39192628860473633},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csr51186.2021.9527911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr51186.2021.9527911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Cyber Security and Resilience (CSR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G6908018420","display_name":"SYSTEMX","funder_award_id":"ANR-10-AIRT-0008","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W195047088","https://openalex.org/W1977555035","https://openalex.org/W2020524857","https://openalex.org/W2090987673","https://openalex.org/W2146741774","https://openalex.org/W2330650066","https://openalex.org/W2604247107","https://openalex.org/W2615438928","https://openalex.org/W2619874920","https://openalex.org/W2728229829","https://openalex.org/W2807219356","https://openalex.org/W2907570543","https://openalex.org/W2921035150","https://openalex.org/W2940659503","https://openalex.org/W2954088888","https://openalex.org/W2981386789","https://openalex.org/W2991605975","https://openalex.org/W3007079077","https://openalex.org/W3122675141","https://openalex.org/W3127943761","https://openalex.org/W4286774526","https://openalex.org/W4288289328","https://openalex.org/W6681630683","https://openalex.org/W6740205426","https://openalex.org/W6765696151","https://openalex.org/W6775058991","https://openalex.org/W6788905760"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W3092506759","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W3195278891"],"abstract_inverted_index":{"Industrial":[0],"Control":[1],"Systems":[2],"(ICSs)":[3],"are":[4],"used":[5],"in":[6,25,44,77,79,146],"several":[7],"domains":[8],"such":[9],"as":[10,62,64],"Transportation,":[11],"Manufacturing,":[12],"Defense":[13],"and":[14,17,99,111,140],"Power":[15],"Generation":[16],"Distribution.":[18],"ICSs":[19,78,144],"deal":[20],"with":[21,32],"complex":[22],"physical":[23],"systems":[24,46],"order":[26,80],"to":[27,51,81,107],"achieve":[28],"an":[29],"industrial":[30],"purpose":[31],"operational":[33],"safety.":[34],"Security":[35],"has":[36],"not":[37],"been":[38],"taken":[39],"into":[40],"account":[41],"by":[42],"design":[43],"these":[45],"that":[47],"makes":[48],"them":[49],"vulnerable":[50],"cyberattacks.In":[52],"this":[53,87,128],"paper,":[54,129],"we":[55,89],"rely":[56],"on":[57,65,95],"existing":[58,67],"public":[59,123],"ICS":[60,124],"datasets":[61],"well":[63],"the":[66,116,147],"literature":[68],"of":[69],"Machine":[70],"Learning":[71],"(ML)":[72],"applications":[73],"for":[74,121,134],"anomaly":[75],"detection":[76,83,138],"improve":[82],"scores.":[84],"To":[85],"perform":[86],"purpose,":[88],"propose":[90],"a":[91],"systematic":[92],"framework,":[93],"relying":[94],"established":[96],"ML":[97],"algorithms":[98],"suitable":[100],"data":[101],"preprocessing":[102],"methods,":[103],"which":[104,130],"allows":[105],"us":[106],"quickly":[108],"get":[109],"efficient,":[110],"surprisingly,":[112],"better":[113],"results":[114],"than":[115],"literature.":[117],"Finally,":[118],"some":[119],"recommendations":[120],"future":[122,136],"dataset":[125],"generations":[126],"end":[127],"would":[131],"be":[132],"fruitful":[133],"improving":[135],"attack":[137],"models":[139],"then":[141],"protect":[142],"new":[143],"designed":[145],"next":[148],"future.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2025-10-10T00:00:00"}