{"id":"https://openalex.org/W4226083823","doi":"https://doi.org/10.3103/s0146411621080320","title":"Detecting Anomalies in Cyber-Physical Systems Using Graph Neural Networks","display_name":"Detecting Anomalies in Cyber-Physical Systems Using Graph Neural Networks","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4226083823","doi":"https://doi.org/10.3103/s0146411621080320"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411621080320","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411621080320","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","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/A5067534963","display_name":"K. V. Vasil\u2019eva","orcid":null},"institutions":[{"id":"https://openalex.org/I212220629","display_name":"Peter the Great St. Petersburg Polytechnic University","ror":"https://ror.org/02x91aj62","country_code":"RU","type":"education","lineage":["https://openalex.org/I212220629"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"K. V. Vasil\u2019eva","raw_affiliation_strings":["Peter the Great St. Petersburg Polytechnic University, 195251, St. Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"Peter the Great St. Petersburg Polytechnic University, 195251, St. Petersburg, Russia","institution_ids":["https://openalex.org/I212220629"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008220609","display_name":"D. S. Lavrova","orcid":"https://orcid.org/0000-0003-2849-4682"},"institutions":[{"id":"https://openalex.org/I212220629","display_name":"Peter the Great St. Petersburg Polytechnic University","ror":"https://ror.org/02x91aj62","country_code":"RU","type":"education","lineage":["https://openalex.org/I212220629"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"D. S. Lavrova","raw_affiliation_strings":["Peter the Great St. Petersburg Polytechnic University, 195251, St. Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"Peter the Great St. Petersburg Polytechnic University, 195251, St. Petersburg, Russia","institution_ids":["https://openalex.org/I212220629"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067534963"],"corresponding_institution_ids":["https://openalex.org/I212220629"],"apc_list":null,"apc_paid":null,"fwci":0.1528,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54747289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"55","issue":"8","first_page":"1051","last_page":"1060"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9995999932289124,"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":0.9995999932289124,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9983000159263611,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8499959707260132},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.766330361366272},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6497613787651062},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.626442015171051},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5226752161979675},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5172872543334961},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.4996154308319092},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4791702330112457},{"id":"https://openalex.org/keywords/physical-system","display_name":"Physical system","score":0.43985918164253235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.420975923538208},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3535831868648529},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32991647720336914}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8499959707260132},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.766330361366272},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6497613787651062},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.626442015171051},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5226752161979675},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5172872543334961},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.4996154308319092},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4791702330112457},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.43985918164253235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.420975923538208},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3535831868648529},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32991647720336914},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411621080320","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411621080320","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1599149671","https://openalex.org/W2587759064","https://openalex.org/W2907492528"],"related_works":["https://openalex.org/W2756692340","https://openalex.org/W2994120531","https://openalex.org/W2108326965","https://openalex.org/W2086962923","https://openalex.org/W2091790253","https://openalex.org/W3017360834","https://openalex.org/W4229048927","https://openalex.org/W3099113830","https://openalex.org/W190251865","https://openalex.org/W2152192540"],"abstract_inverted_index":{"Application":[0],"of":[1,20,25,39,45,49,60,70,86,95],"convolutional":[2],"graph":[3,15,41],"neural":[4,62],"networks":[5],"for":[6,32,74],"detecting":[7],"anomalies":[8,77],"in":[9,22,78],"cyber-physical":[10,79],"systems":[11,80],"is":[12,27,53,97],"proposed.":[13],"The":[14],"model":[16,73,88],"reflecting":[17],"the":[18,23,30,34,37,40,43,46,57,61,66,71,76,84,87,93],"dynamics":[19],"variation":[21],"state":[24],"devices":[26],"developed,":[28],"and":[29,68,83,91],"algorithm":[31],"preprocessing":[33],"data":[35],"providing":[36],"generation":[38],"on":[42],"basis":[44],"studied":[47],"sample":[48],"telemetric":[50],"indicator":[51],"values":[52],"presented.":[54],"Using":[55],"experiments,":[56],"optimal":[58],"parameters":[59],"network":[63],"are":[64,81],"determined,":[65],"applicability":[67],"efficiency":[69],"proposed":[72],"revealing":[75],"shown,":[82],"capability":[85],"to":[89],"reveal":[90],"distinguish":[92],"classes":[94],"attacks":[96],"confirmed.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}