{"id":"https://openalex.org/W4248945264","doi":"https://doi.org/10.1109/cac53003.2021.9727839","title":"An Abnormal Network Traffic Detection Method for Steam Turbine Control System based on Long Short-Term Memory","display_name":"An Abnormal Network Traffic Detection Method for Steam Turbine Control System based on Long Short-Term Memory","publication_year":2021,"publication_date":"2021-10-22","ids":{"openalex":"https://openalex.org/W4248945264","doi":"https://doi.org/10.1109/cac53003.2021.9727839"},"language":"en","primary_location":{"id":"doi:10.1109/cac53003.2021.9727839","doi":"https://doi.org/10.1109/cac53003.2021.9727839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cac53003.2021.9727839","pdf_url":null,"source":{"id":"https://openalex.org/S4363604230","display_name":"China Automation Congress (CAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 China Automation Congress (CAC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5100324331","display_name":"Yufei Zhang","orcid":"https://orcid.org/0000-0001-9843-1404","observed_orcids":["https://orcid.org/0000-0001-9843-1404"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yufei Zhang","raw_affiliation_strings":["DEC Academy of Science and Technology Co., Ltd,Engineering Laboratory for Energy Equipment Cyber Security,Chengdu,China","Engineering Laboratory for Energy Equipment Cyber Security, DEC Academy of Science and Technology Co., Ltd, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEC Academy of Science and Technology Co., Ltd,Engineering Laboratory for Energy Equipment Cyber Security,Chengdu,China","institution_ids":[]},{"raw_affiliation_string":"Engineering Laboratory for Energy Equipment Cyber Security, DEC Academy of Science and Technology Co., Ltd, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033506948","display_name":"Chengchong Zhao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengchong Zhao","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Automation,Nanjing,China","School of Automation, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Automation,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Automation, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016707118","display_name":"Yunyun Xie","orcid":"https://orcid.org/0000-0002-8971-9497","observed_orcids":["https://orcid.org/0000-0002-8971-9497"]},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunyun Xie","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Automation,Nanjing,China","School of Automation, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Automation,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Automation, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070942066","display_name":"Zi Sang","orcid":"https://orcid.org/0000-0003-1792-3592","observed_orcids":["https://orcid.org/0000-0003-1792-3592"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zi Sang","raw_affiliation_strings":["DEC Academy of Science and Technology Co., Ltd,Engineering Laboratory for Energy Equipment Cyber Security,Chengdu,China","Engineering Laboratory for Energy Equipment Cyber Security, DEC Academy of Science and Technology Co., Ltd, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEC Academy of Science and Technology Co., Ltd,Engineering Laboratory for Energy Equipment Cyber Security,Chengdu,China","institution_ids":[]},{"raw_affiliation_string":"Engineering Laboratory for Energy Equipment Cyber Security, DEC Academy of Science and Technology Co., Ltd, Chengdu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1210","last_page":"1214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9312000274658203,"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":0.9312000274658203,"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":0.06270000338554382,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.0008999999845400453,"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/long-short-term-memory","display_name":"long short-term memory","score":0.9399999976158142},{"id":"https://openalex.org/keywords/cyber-physical-systems","display_name":"cyber-physical systems","score":0.7620000243186951},{"id":"https://openalex.org/keywords/network-intrusion-detection","display_name":"network intrusion detection","score":0.9190000295639038},{"id":"https://openalex.org/keywords/power-system-security","display_name":"power system security","score":0.8809999823570251},{"id":"https://openalex.org/keywords/time-series-forecasting","display_name":"time series forecasting","score":0.8040000200271606}],"concepts":[{"id":"https://openalex.org/C14794904","wikidata":"https://www.wikidata.org/wiki/Q189859","display_name":"Steam turbine","level":2,"score":0.7418659925460815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6984728574752808},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6662875413894653},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5413295030593872},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.5329509973526001},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.5254444479942322},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.5020055770874023},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.48164477944374084},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.45276039838790894},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.4447948634624481},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4161009192466736},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.40762859582901},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.38469767570495605},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3790012300014496},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37358030676841736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3103072941303253},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26061543822288513},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20846742391586304},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08900856971740723},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cac53003.2021.9727839","doi":"https://doi.org/10.1109/cac53003.2021.9727839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cac53003.2021.9727839","pdf_url":null,"source":{"id":"https://openalex.org/S4363604230","display_name":"China Automation Congress (CAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 China Automation Congress (CAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7207000255584717,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1972757409","https://openalex.org/W1982359930","https://openalex.org/W2766761849","https://openalex.org/W2809317444","https://openalex.org/W2941512860","https://openalex.org/W2982277720","https://openalex.org/W3001942906","https://openalex.org/W3047447313","https://openalex.org/W3115612433","https://openalex.org/W3130640550","https://openalex.org/W3136130694","https://openalex.org/W6790514586"],"related_works":["https://openalex.org/W4385423444","https://openalex.org/W3028357018","https://openalex.org/W6930272428","https://openalex.org/W3217568039","https://openalex.org/W4400910570","https://openalex.org/W3129907317","https://openalex.org/W4408183417","https://openalex.org/W7204108974","https://openalex.org/W7125272009","https://openalex.org/W7160435678"],"abstract_inverted_index":{"The":[0],"steam":[1,28],"turbine":[2,29,63],"control":[3,10,23,26,64],"system,":[4,11],"as":[5],"apart":[6],"of":[7,53,94,129],"the":[8,27,35,49,54,91,95,100,103,107,119,122,127,134],"power":[9,55],"is":[12,41,73,83,110,116,137],"a":[13,57,87,113],"cyber":[14],"physical":[15],"system":[16,65],"which":[17],"relies":[18],"on":[19,67,90],"communication":[20,39],"technology":[21,24,40],"and":[22,46,51,106,142],"to":[25,33,43,85,139],"automatically.":[30],"In":[31],"order":[32],"solve":[34],"problem":[36],"that":[37],"its":[38],"vulnerable":[42],"network":[44,58,82,114],"intrusion":[45,115],"thus":[47],"threatens":[48],"security":[50],"stability":[52],"grid,":[56],"abnormal":[59],"detection":[60],"method":[61,136],"for":[62],"based":[66,89],"long-":[68],"short":[69],"term":[70],"memory":[71],"(LSTM)":[72],"proposed":[74,135],"in":[75],"this":[76],"paper.":[77],"Firstly,":[78],"an":[79],"LSTM":[80],"neural":[81,132],"established":[84],"predict":[86],"value":[88,105,109],"historical":[92],"data":[93],"selected":[96],"time":[97],"series,":[98],"Then,":[99],"error":[101,120],"between":[102],"predicted":[104],"actual":[108],"calculated.":[111],"Finally,":[112],"determined":[117],"when":[118],"exceeds":[121],"threshold":[123],"value.":[124],"Compared":[125],"-with":[126],"results":[128],"other":[130],"common":[131],"networks,":[133],"proved":[138],"be":[140],"effective":[141],"more":[143],"accurate.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2022-05-12T00:00:00"}
