{"id":"https://openalex.org/W4327773102","doi":"https://doi.org/10.1109/sds57574.2022.10062873","title":"An Adaptive Attack Prediction Framework in Cyber-Physical Systems","display_name":"An Adaptive Attack Prediction Framework in Cyber-Physical Systems","publication_year":2022,"publication_date":"2022-12-12","ids":{"openalex":"https://openalex.org/W4327773102","doi":"https://doi.org/10.1109/sds57574.2022.10062873"},"language":"en","primary_location":{"id":"doi:10.1109/sds57574.2022.10062873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sds57574.2022.10062873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Ninth International Conference on Software Defined Systems (SDS)","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/A5047634425","display_name":"Mohamed\u2010el\u2010Amine Brahmia","orcid":"https://orcid.org/0000-0003-0114-210X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mohamed-el-Amine Brahmia","raw_affiliation_strings":["CESI LINEACT UR 7527,Strasbourg,France","CESI LINEACT UR 7527, Strasbourg, France"],"affiliations":[{"raw_affiliation_string":"CESI LINEACT UR 7527,Strasbourg,France","institution_ids":[]},{"raw_affiliation_string":"CESI LINEACT UR 7527, Strasbourg, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021250039","display_name":"Sami Babouche","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sami Babouche","raw_affiliation_strings":["CESI LINEACT UR 7527,Strasbourg,France","CESI LINEACT UR 7527, Strasbourg, France","ESI, Higher National School of Computer Science, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"CESI LINEACT UR 7527,Strasbourg,France","institution_ids":[]},{"raw_affiliation_string":"CESI LINEACT UR 7527, Strasbourg, France","institution_ids":[]},{"raw_affiliation_string":"ESI, Higher National School of Computer Science, Algiers, Algeria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045704925","display_name":"Samir Ouchani","orcid":"https://orcid.org/0000-0002-7997-8225"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samir Ouchani","raw_affiliation_strings":["CESI LINEACT UR 7527,Strasbourg,France","CESI LINEACT UR 7527, Strasbourg, France"],"affiliations":[{"raw_affiliation_string":"CESI LINEACT UR 7527,Strasbourg,France","institution_ids":[]},{"raw_affiliation_string":"CESI LINEACT UR 7527, Strasbourg, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019292517","display_name":"Mourad Zghal","orcid":"https://orcid.org/0000-0003-1329-8574"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mourad Zghal","raw_affiliation_strings":["CESI LINEACT UR 7527,Strasbourg,France","CESI LINEACT UR 7527, Strasbourg, France"],"affiliations":[{"raw_affiliation_string":"CESI LINEACT UR 7527,Strasbourg,France","institution_ids":[]},{"raw_affiliation_string":"CESI LINEACT UR 7527, Strasbourg, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047634425"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7118,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73057869,"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":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9986000061035156,"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/T10734","display_name":"Information and Cyber Security","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/cyber-physical-system","display_name":"Cyber-physical system","score":0.8133184909820557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7919549942016602},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6353068351745605},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5234279632568359},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4822419583797455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.474616676568985},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4667888581752777},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39282670617103577}],"concepts":[{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.8133184909820557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7919549942016602},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6353068351745605},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5234279632568359},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4822419583797455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.474616676568985},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4667888581752777},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39282670617103577},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sds57574.2022.10062873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sds57574.2022.10062873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Ninth International Conference on Software Defined Systems (SDS)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04065408v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04065408","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 Ninth International Conference on Software Defined Systems (SDS), Dec 2022, Paris, France. pp.1-7, ⟨10.1109/SDS57574.2022.10062873⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W1986923509","https://openalex.org/W2059437287","https://openalex.org/W2400995703","https://openalex.org/W2789828921","https://openalex.org/W2914502888","https://openalex.org/W2952589828","https://openalex.org/W2966284335","https://openalex.org/W3114882055","https://openalex.org/W3128562015","https://openalex.org/W3129692690","https://openalex.org/W3160282572","https://openalex.org/W3200780444","https://openalex.org/W3201904098","https://openalex.org/W3214825074","https://openalex.org/W4239510810","https://openalex.org/W4312558627","https://openalex.org/W6601316123","https://openalex.org/W6610017368","https://openalex.org/W6751443997","https://openalex.org/W6910546390"],"related_works":["https://openalex.org/W3004173571","https://openalex.org/W2546638913","https://openalex.org/W2209816623","https://openalex.org/W2389214306","https://openalex.org/W2968885840","https://openalex.org/W3135700974","https://openalex.org/W4313307484","https://openalex.org/W2965083567","https://openalex.org/W2791379413","https://openalex.org/W2086962923"],"abstract_inverted_index":{"Cyber-physical":[0],"systems":[1],"(CPS)":[2],"have":[3,30,36],"been":[4],"used":[5,134],"in":[6,10,128,142],"many":[7],"applications,":[8],"especially":[9],"smart":[11],"cities":[12],"and":[13,43,73,85,98,127,160],"industrial":[14],"systems.":[15],"As":[16,77],"a":[17,78,96,104],"result":[18,79],"of":[19,23,49,66,80,83],"the":[20,50,67,81],"exponential":[21],"development":[22],"CPSs":[24,29],"connected":[25],"components,":[26],"cyber-attacks":[27],"against":[28],"exploded.":[31],"Moreover,":[32],"new":[33],"critical":[34],"CPS":[35,75,123],"high-security":[37],"constraints":[38],"that":[39,147],"must":[40],"be":[41],"detected":[42],"predicted":[44],"at":[45],"an":[46],"early":[47],"stage":[48],"communication":[51],"process.":[52],"Thus,":[53],"it":[54,157],"has":[55],"become":[56],"harder":[57],"to":[58,135,158],"detect":[59,161],"these":[60],"attacks.":[61],"Machine":[62],"learning":[63,90,112],"is":[64,92,132],"one":[65,88],"most":[68],"effective":[69],"techniques":[70],"for":[71,139],"identifying":[72],"detecting":[74],"vulnerabilities.":[76],"heterogeneity":[82],"traffic":[84],"attacks,":[86],"only":[87],"machine":[89,111],"algorithm":[91],"unreliable.":[93],"To":[94],"provide":[95],"self-adaptive":[97],"scalable":[99],"prediction/detection":[100],"mechanism,":[101],"we":[102],"propose":[103],"framework":[105],"called":[106],"AAPF-CPS,":[107],"which":[108],"combines":[109],"several":[110],"algorithms":[113,152],"with":[114],"statistical":[115],"tests.":[116],"With":[117],"multiple":[118],"classification":[119],"algorithms,":[120],"AAPF-CPS":[121,148],"analyzes":[122],"network":[124],"logs":[125],"simultaneously":[126],"real-time.":[129],"Friedman's":[130],"test":[131],"also":[133],"rank":[136],"each":[137,140],"classifier":[138],"context":[141],"AAPF-CPS.":[143],"Experimental":[144],"results":[145],"showed":[146],"could":[149],"adapt":[150],"ML":[151],"based":[153],"on":[154],"traffic,":[155],"allowing":[156],"predict":[159],"potential":[162],"attacks":[163],"more":[164],"efficiently.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}