{"id":"https://openalex.org/W4400076685","doi":"https://doi.org/10.1109/med61351.2024.10566260","title":"Holistic Risk Assessment in Industrial Control Systems: Combining Multiple Bayesian Networks with Multi-Criteria Decision Making","display_name":"Holistic Risk Assessment in Industrial Control Systems: Combining Multiple Bayesian Networks with Multi-Criteria Decision Making","publication_year":2024,"publication_date":"2024-06-11","ids":{"openalex":"https://openalex.org/W4400076685","doi":"https://doi.org/10.1109/med61351.2024.10566260"},"language":"en","primary_location":{"id":"doi:10.1109/med61351.2024.10566260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/med61351.2024.10566260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Mediterranean Conference on Control and Automation (MED)","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/A5020812092","display_name":"Simone Guarino","orcid":"https://orcid.org/0000-0001-8700-4749"},"institutions":[{"id":"https://openalex.org/I155125353","display_name":"Universit\u00e0 Campus Bio-Medico","ror":"https://ror.org/04gqx4x78","country_code":"IT","type":"education","lineage":["https://openalex.org/I155125353"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Simone Guarino","raw_affiliation_strings":["Universit&#x00E0; Campus Bio-Medico di Roma,Department of Engineering,Rome,Italy,00128"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; Campus Bio-Medico di Roma,Department of Engineering,Rome,Italy,00128","institution_ids":["https://openalex.org/I155125353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056066548","display_name":"Luca Faramondi","orcid":"https://orcid.org/0000-0002-3750-2405"},"institutions":[{"id":"https://openalex.org/I155125353","display_name":"Universit\u00e0 Campus Bio-Medico","ror":"https://ror.org/04gqx4x78","country_code":"IT","type":"education","lineage":["https://openalex.org/I155125353"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Faramondi","raw_affiliation_strings":["Universit&#x00E0; Campus Bio-Medico di Roma,Department of Engineering,Rome,Italy,00128"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; Campus Bio-Medico di Roma,Department of Engineering,Rome,Italy,00128","institution_ids":["https://openalex.org/I155125353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012297844","display_name":"Gabriele Oliva","orcid":"https://orcid.org/0000-0001-7257-4079"},"institutions":[{"id":"https://openalex.org/I155125353","display_name":"Universit\u00e0 Campus Bio-Medico","ror":"https://ror.org/04gqx4x78","country_code":"IT","type":"education","lineage":["https://openalex.org/I155125353"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriele Oliva","raw_affiliation_strings":["Universit&#x00E0; Campus Bio-Medico di Roma,Department of Engineering,Rome,Italy,00128"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; Campus Bio-Medico di Roma,Department of Engineering,Rome,Italy,00128","institution_ids":["https://openalex.org/I155125353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080573530","display_name":"Ernesto Del Prete","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119350","display_name":"Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro","ror":"https://ror.org/01t264m74","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210119350"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ernesto Del Prete","raw_affiliation_strings":["INAIL,Department of Technological Innovations and Safety of Plants, Products and Anthropic Settlements,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INAIL,Department of Technological Innovations and Safety of Plants, Products and Anthropic Settlements,Italy","institution_ids":["https://openalex.org/I4210119350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032289109","display_name":"Roberto Setola","orcid":"https://orcid.org/0000-0002-8792-2520"},"institutions":[{"id":"https://openalex.org/I155125353","display_name":"Universit\u00e0 Campus Bio-Medico","ror":"https://ror.org/04gqx4x78","country_code":"IT","type":"education","lineage":["https://openalex.org/I155125353"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Roberto Setola","raw_affiliation_strings":["Universit&#x00E0; Campus Bio-Medico di Roma,Department of Engineering,Rome,Italy,00128"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; Campus Bio-Medico di Roma,Department of Engineering,Rome,Italy,00128","institution_ids":["https://openalex.org/I155125353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020812092"],"corresponding_institution_ids":["https://openalex.org/I155125353"],"apc_list":null,"apc_paid":null,"fwci":0.9228,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73943716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9747999906539917,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9747999906539917,"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/T11357","display_name":"Risk and Safety Analysis","score":0.9520999789237976,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6926013231277466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.628533661365509},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.545615553855896},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.502455472946167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3846360445022583},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38150554895401},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3540242612361908},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08045756816864014}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6926013231277466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.628533661365509},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.545615553855896},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.502455472946167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3846360445022583},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38150554895401},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3540242612361908},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08045756816864014}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/med61351.2024.10566260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/med61351.2024.10566260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Mediterranean Conference on Control and Automation (MED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2182336023","https://openalex.org/W2275580678","https://openalex.org/W2765472318","https://openalex.org/W2803911175","https://openalex.org/W2896459013","https://openalex.org/W2899075272","https://openalex.org/W2961498250","https://openalex.org/W2995370638","https://openalex.org/W3000277134","https://openalex.org/W3196299211","https://openalex.org/W4226437737","https://openalex.org/W4312223642","https://openalex.org/W4386214314","https://openalex.org/W4387925112","https://openalex.org/W4388944168","https://openalex.org/W4389254600"],"related_works":["https://openalex.org/W2972991241","https://openalex.org/W2961085424","https://openalex.org/W2381390841","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4367181073","https://openalex.org/W4360591956","https://openalex.org/W2371925260","https://openalex.org/W4205958290"],"abstract_inverted_index":{"In":[0,95],"recent":[1],"years,":[2],"the":[3,19,35,55,116,132,154,172],"increase":[4],"in":[5,167],"cyber-attacks":[6],"on":[7],"Industrial":[8],"Control":[9],"Systems":[10],"(ICS)":[11],"due":[12],"to":[13,24,82,107,130,148],"open":[14],"industrial":[15],"protocols":[16],"has":[17],"highlighted":[18],"vulnerability":[20],"of":[21,58,100,110,126,134,136,153],"critical":[22],"infras-tructures":[23],"such":[25,62],"threats.":[26,60],"Notable":[27],"incidents":[28],"like":[29],"Stuxnet":[30],"and":[31,84,138],"BlackEnergy3":[32],"have":[33],"demonstrated":[34],"potential":[36],"for":[37,46,177],"significant":[38],"operational":[39],"disruptions.":[40],"Such":[41],"a":[42,47,67,90,98,124,145,162,168],"new":[43],"situation":[44],"calls":[45],"successful":[48],"risk":[49,70,87,93,102,156],"assessment":[50,71,157],"approach":[51],"that":[52],"can":[53],"address":[54],"multifaceted":[56],"nature":[57],"cyber":[59],"Addressing":[61],"need,":[63],"this":[64,139],"paper":[65],"in-troduces":[66],"novel":[68],"holistic":[69],"framework":[72],"combining":[73],"Bayesian":[74],"Networks":[75],"(BNs)":[76],"with":[77],"Multi-Criteria":[78],"Decision":[79],"Making":[80],"(MCDM)":[81],"compute":[83],"integrate":[85],"heterogeneous":[86,101],"values":[88],"into":[89,144],"single,":[91],"comprehensive":[92],"metric.":[94,150],"more":[96],"detail,":[97],"set":[99,125],"metrics,":[103],"derived":[104],"by":[105],"resorting":[106],"an":[108],"array":[109],"risk-specific":[111],"BNs,":[112],"is":[113,128,142,159],"combined":[114],"through":[115],"Incomplete":[117],"Analytic":[118],"Hierarchy":[119],"Process":[120],"(AHP)":[121],"technique.":[122],"Briefly,":[123],"experts":[127],"asked":[129],"compare":[131],"relevance":[133],"pairs":[135],"risks,":[137],"relative":[140],"information":[141],"translated":[143],"weight":[146],"associated":[147],"each":[149],"The":[151],"effectiveness":[152],"proposed":[155],"technique":[158],"evaluated":[160],"against":[161],"real":[163],"hardware-in-the-loop":[164],"case":[165],"study":[166],"laboratory":[169],"environment,":[170],"namely":[171],"Water":[173],"Distribution":[174],"Testbed":[175],"(WDT)":[176],"cyber-physical":[178],"security":[179],"testing.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}
