{"id":"https://openalex.org/W2938814694","doi":"https://doi.org/10.1109/ccis.2018.8691359","title":"Network Security Situation Awareness of Power Dispatching Automation System Based on LDA-RBF","display_name":"Network Security Situation Awareness of Power Dispatching Automation System Based on LDA-RBF","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2938814694","doi":"https://doi.org/10.1109/ccis.2018.8691359","mag":"2938814694"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2018.8691359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","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/A5074647251","display_name":"Chen Decheng","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Decheng","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing 210023, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001135373","display_name":"Rong Fu","orcid":"https://orcid.org/0000-0002-4946-0329"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fu Rong","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing 210023, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064947512","display_name":"Shaoqun Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111970","display_name":"Fujian Electric Power Survey & Design Institute","ror":"https://ror.org/0233jyt67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210111970"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Shaoqun","raw_affiliation_strings":["State Grid Fujian Power Co. Ltd., Fuzhou 350000, China"],"affiliations":[{"raw_affiliation_string":"State Grid Fujian Power Co. Ltd., Fuzhou 350000, China","institution_ids":["https://openalex.org/I4210111970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110681618","display_name":"Jie Qin","orcid":"https://orcid.org/0000-0002-0550-457X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin Jie","raw_affiliation_strings":["Beijing HDBR Electric Power Automation Engineering Technology Co., Ltd., Beijing 100000, China"],"affiliations":[{"raw_affiliation_string":"Beijing HDBR Electric Power Automation Engineering Technology Co., Ltd., Beijing 100000, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074647251"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18852154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"572","last_page":"577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.8917999863624573,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12451","display_name":"Smart Grid and Power Systems","score":0.8917999863624573,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14276","display_name":"Power Systems and Technologies","score":0.8659999966621399,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.8429999947547913,"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/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6972454786300659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6852757930755615},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6741982102394104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6521098613739014},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.6469515562057495},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.586819052696228},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4817124009132385},{"id":"https://openalex.org/keywords/process-automation-system","display_name":"Process automation system","score":0.45483702421188354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4412556290626526},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.43148335814476013},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4286327362060547},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.42147812247276306},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.41162675619125366},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3669264018535614},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.27746859192848206},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.186915785074234},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.15234798192977905}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6972454786300659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6852757930755615},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6741982102394104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6521098613739014},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.6469515562057495},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.586819052696228},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4817124009132385},{"id":"https://openalex.org/C21457203","wikidata":"https://www.wikidata.org/wiki/Q4056293","display_name":"Process automation system","level":3,"score":0.45483702421188354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4412556290626526},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.43148335814476013},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4286327362060547},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.42147812247276306},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.41162675619125366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3669264018535614},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.27746859192848206},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.186915785074234},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.15234798192977905},{"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/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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2018.8691359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1972062587","https://openalex.org/W1981018867","https://openalex.org/W2105681109","https://openalex.org/W2171331105","https://openalex.org/W2390965309","https://openalex.org/W2413149779","https://openalex.org/W2525362053","https://openalex.org/W2736284633","https://openalex.org/W2768724561","https://openalex.org/W2783889344","https://openalex.org/W2794488615","https://openalex.org/W6715421022"],"related_works":["https://openalex.org/W2381742191","https://openalex.org/W2390581407","https://openalex.org/W2384002254","https://openalex.org/W2167610914","https://openalex.org/W2204392445","https://openalex.org/W4387011833","https://openalex.org/W2365103596","https://openalex.org/W4248723619","https://openalex.org/W2380790276","https://openalex.org/W2907978340"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,31,60,66,71,76,83,87,95,100,105,113,117,124,128,136,141,149,154,160,163,167],"accurate":[3],"prediction":[4],"of":[5,48,99,140,153,162,171],"network":[6,15,32,90,101,106,131,142,150,182],"security":[7,16,33,107,151,168],"situation":[8,17,34,61,102,108,143,152,169],"in":[9,25,166,180],"power":[10,155,172],"dispatching":[11,156,173],"automation":[12,157,174],"system,":[13],"a":[14,39,45],"awareness":[18,35,62],"method":[19,165],"based":[20],"on":[21,70,112],"LDA-RBF":[22],"is":[23,36,79,91,109,120,132,176],"proposed":[24,164],"this":[26,29],"paper.":[27],"In":[28],"method,":[30],"abstracted":[37],"as":[38,55,146],"multi-dimensional":[40],"numerical":[41],"quantization":[42],"problem,":[43],"and":[44,86,104,127],"large":[46],"number":[47],"field":[49],"actual":[50],"test":[51,77,118],"samples":[52],"are":[53],"used":[54,92,133],"data":[56,78,119],"sources":[57],"to":[58,64,81,93,122,134,147],"input":[59],"model":[63],"characterize":[65],"perceived":[67],"results.":[68],"Based":[69,111],"linear":[72,114],"discriminant":[73,115],"analysis":[74,170],"(LDA),":[75],"preprocessed":[80,121],"optimize":[82,123],"sample":[84,125],"data,":[85,126],"RBF":[88,129],"neural":[89,130],"find":[94,135],"nonlinear":[96,137],"mapping":[97,138],"relation":[98,139],"value,":[103,144],"quantified.":[110],"analysis,":[116],"so":[145],"quantify":[148],"system.":[158],"Finally,":[159],"effectiveness":[161],"system":[175],"verified":[177],"through":[178],"experiments":[179],"real":[181],"environment.":[183]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
