{"id":"https://openalex.org/W2989978552","doi":"https://doi.org/10.1109/smc.2019.8913895","title":"Network Data Analysis and Anomaly Detection Using CNN Technique for Industrial Control Systems Security","display_name":"Network Data Analysis and Anomaly Detection Using CNN Technique for Industrial Control Systems Security","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2989978552","doi":"https://doi.org/10.1109/smc.2019.8913895","mag":"2989978552"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2019.8913895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8913895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","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/A5101908079","display_name":"Yibo Hu","orcid":"https://orcid.org/0000-0003-4558-1729"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yibo Hu","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","School of Automation, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110207087","display_name":"Dinghua Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dinghua Zhang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","School of Automation, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024907692","display_name":"Guoyan Cao","orcid":"https://orcid.org/0000-0003-2921-1920"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyan Cao","raw_affiliation_strings":["School of Cyber Space Security, Northwestern Polytechnical University, Xi\u2019an, China","School of Cyber Space Security, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Space Security, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Cyber Space Security, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108517562","display_name":"Quan Pan","orcid":"https://orcid.org/0000-0001-8162-2896"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Pan","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","School of Automation, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101908079"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.7433,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.75560304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"593","last_page":"597"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","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/T10400","display_name":"Network Security and Intrusion Detection","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":0.9994000196456909,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7563743591308594},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.716813862323761},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5730249881744385},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5352082848548889},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5270607471466064},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.5253923535346985},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5214583277702332},{"id":"https://openalex.org/keywords/industrial-control-system","display_name":"Industrial control system","score":0.4459717869758606},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4454939663410187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35919293761253357},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.295426607131958},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22878876328468323},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10961458086967468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7563743591308594},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.716813862323761},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5730249881744385},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5352082848548889},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5270607471466064},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.5253923535346985},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5214583277702332},{"id":"https://openalex.org/C40071531","wikidata":"https://www.wikidata.org/wiki/Q2513962","display_name":"Industrial control system","level":3,"score":0.4459717869758606},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4454939663410187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35919293761253357},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.295426607131958},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22878876328468323},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10961458086967468},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2019.8913895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8913895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W28825088","https://openalex.org/W1952056635","https://openalex.org/W1999427165","https://openalex.org/W2039157918","https://openalex.org/W2057238618","https://openalex.org/W2099940443","https://openalex.org/W2165969310","https://openalex.org/W2232142723","https://openalex.org/W2284098035","https://openalex.org/W2295637543","https://openalex.org/W2342408547","https://openalex.org/W2486864234","https://openalex.org/W2507920413","https://openalex.org/W2546923044","https://openalex.org/W2569509011","https://openalex.org/W2597826505","https://openalex.org/W2807144968","https://openalex.org/W2908173863","https://openalex.org/W4285719527","https://openalex.org/W6659932665","https://openalex.org/W6695744417","https://openalex.org/W6722594521","https://openalex.org/W6729414772","https://openalex.org/W6735277892"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2105642232","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W3197833032","https://openalex.org/W2947043951","https://openalex.org/W3161403725","https://openalex.org/W4223615774"],"abstract_inverted_index":{"Industrial":[0],"control":[1],"system":[2],"(ICS)":[3],"security":[4],"is":[5,28],"an":[6],"important":[7],"topic":[8],"in":[9],"context":[10],"of":[11,52,57,67,76,91],"Industry":[12],"4.0.":[13],"Due":[14],"to":[15,30,32],"limited":[16],"industrial":[17],"network":[18,42,46,53,70,73,81],"data":[19,22,43,55],"and":[20,44,61,89],"insufficient":[21],"analysis,":[23],"anomaly":[24,64],"detection":[25,65],"for":[26],"ICS":[27,34,45,72],"hardly":[29],"implement":[31],"enforce":[33],"security.":[35],"The":[36],"paper":[37],"analyzes":[38],"the":[39,49,58,63,87,92],"traditional":[40,68],"IT":[41,69],"data,":[47],"bridges":[48],"common":[50],"knowledge":[51,66],"flow":[54],"feature":[56],"both":[59],"networks,":[60],"transfers":[62],"into":[71],"by":[74],"means":[75],"a":[77],"designed":[78],"convolutional":[79],"neural":[80],"(CNN)":[82],"mechanism.":[83,95],"Specific":[84],"experiments":[85],"validate":[86],"accuracy":[88],"reliability":[90],"proposed":[93],"CNN":[94]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}