{"id":"https://openalex.org/W3119779989","doi":"https://doi.org/10.1109/access.2021.3051155","title":"A Deviation-Based Detection Method Against False Data Injection Attacks in Smart Grid","display_name":"A Deviation-Based Detection Method Against False Data Injection Attacks in Smart Grid","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3119779989","doi":"https://doi.org/10.1109/access.2021.3051155","mag":"3119779989"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3051155","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3051155","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09319848.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09319848.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018991444","display_name":"Chao Pei","orcid":"https://orcid.org/0000-0002-8369-7346"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Chao Pei","raw_affiliation_strings":["Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China","Department of Computer Science, The University of Alabama, Tuscaloosa, AL, USA","Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8369-7346","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Computer Science, The University of Alabama, Tuscaloosa, AL, USA","institution_ids":["https://openalex.org/I17301866"]},{"raw_affiliation_string":"Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046618429","display_name":"Yang Xiao","orcid":"https://orcid.org/0000-0001-8549-6794"},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Xiao","raw_affiliation_strings":["Department of Computer Science, The University of Alabama, Tuscaloosa, AL, USA"],"raw_orcid":"https://orcid.org/0000-0001-8549-6794","affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Alabama, Tuscaloosa, AL, USA","institution_ids":["https://openalex.org/I17301866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112277676","display_name":"Wei Liang","orcid":"https://orcid.org/0000-0002-4730-017X"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liang","raw_affiliation_strings":["Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China","Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-4730-017X","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100662357","display_name":"Xiaojia Han","orcid":"https://orcid.org/0000-0002-7374-804X"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojia Han","raw_affiliation_strings":["Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China","Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7374-804X","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.4435,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.94835819,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"15499","last_page":"15509"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":1.0,"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/T10917","display_name":"Smart Grid Security and Resilience","score":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9940000176429749,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.98089998960495,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7367266416549683},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6626288890838623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5983802676200867},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.585419237613678},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5130449533462524},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.46349143981933594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4404427111148834},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.41582566499710083},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.4148847460746765},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2837323844432831},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28356802463531494},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.2344561219215393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21231192350387573},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17805695533752441}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7367266416549683},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6626288890838623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5983802676200867},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.585419237613678},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5130449533462524},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.46349143981933594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4404427111148834},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.41582566499710083},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.4148847460746765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2837323844432831},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28356802463531494},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.2344561219215393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21231192350387573},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17805695533752441},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2021.3051155","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3051155","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09319848.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9e83dcedce9e42209090420b2501e51e","is_oa":true,"landing_page_url":"https://doaj.org/article/9e83dcedce9e42209090420b2501e51e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 15499-15509 (2021)","raw_type":"article"},{"id":"pmh:oai:ir.sia.cn/:173321/28473","is_oa":false,"landing_page_url":"http://ir.sia.cn/handle/173321/28473","pdf_url":null,"source":{"id":"https://openalex.org/S4377196984","display_name":"SIA OpenIR (Chinese Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I19820366","host_organization_name":"Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/I19820366"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3051155","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3051155","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09319848.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1129694155","display_name":null,"funder_award_id":"173321KYSB20200002","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G1453657491","display_name":null,"funder_award_id":"173321KYSB20180020","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G1644014673","display_name":null,"funder_award_id":"2017YFE0101300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G264680501","display_name":null,"funder_award_id":"2019-YQ-09","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"},{"id":"https://openalex.org/G4722719624","display_name":null,"funder_award_id":"173321KYSB20180020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4777874985","display_name":null,"funder_award_id":"XLYC1902110","funder_id":"https://openalex.org/F4320329895","funder_display_name":"Liaoning Revitalization Talents Program"},{"id":"https://openalex.org/G5647954964","display_name":null,"funder_award_id":"62022088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G768621899","display_name":null,"funder_award_id":"2020JH2/10500002","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null},{"id":"https://openalex.org/F4320329895","display_name":"Liaoning Revitalization Talents Program","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3119779989.pdf","grobid_xml":"https://content.openalex.org/works/W3119779989.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1598852905","https://openalex.org/W1680757476","https://openalex.org/W1981955701","https://openalex.org/W1990213745","https://openalex.org/W2003992171","https://openalex.org/W2005028112","https://openalex.org/W2038651258","https://openalex.org/W2039984414","https://openalex.org/W2091497071","https://openalex.org/W2100445566","https://openalex.org/W2103058000","https://openalex.org/W2124861999","https://openalex.org/W2152190235","https://openalex.org/W2164681195","https://openalex.org/W2308438456","https://openalex.org/W2313114883","https://openalex.org/W2332912277","https://openalex.org/W2383402399","https://openalex.org/W2402911760","https://openalex.org/W2439424908","https://openalex.org/W2477566801","https://openalex.org/W2525022545","https://openalex.org/W2550453031","https://openalex.org/W2597776218","https://openalex.org/W2758577953","https://openalex.org/W2763747164","https://openalex.org/W2766003054","https://openalex.org/W2792169732","https://openalex.org/W2816293441","https://openalex.org/W2890946036","https://openalex.org/W2927449203","https://openalex.org/W3000458639","https://openalex.org/W3036477503","https://openalex.org/W3036744534","https://openalex.org/W3047621094","https://openalex.org/W3101076092","https://openalex.org/W4239984318","https://openalex.org/W4252020384","https://openalex.org/W4254547015","https://openalex.org/W6710088527","https://openalex.org/W6718803878"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911"],"abstract_inverted_index":{"State":[0],"estimation":[1,109],"plays":[2],"a":[3,20,59,196],"vital":[4],"role":[5],"to":[6,45,95],"ensure":[7],"safe":[8],"and":[9,22,166,217,225],"reliable":[10],"operations":[11],"in":[12,54,64,100,152],"smart":[13],"grid.":[14],"Intelligent":[15],"attackers":[16],"can":[17,156,180],"carefully":[18],"design":[19],"destructive":[21],"stealthy":[23],"false":[24],"data":[25],"injection":[26],"attack":[27,162,215],"(FDIA)":[28],"sequence":[29],"such":[30],"that":[31,81],"commonly":[32],"used":[33],"weighted":[34,76,112],"least":[35,77,113],"squares":[36,78,114],"estimator":[37,115],"combined":[38],"with":[39,195],"residual-based":[40],"detection":[41,62,197,207,220],"method":[42,208],"is":[43,70,92,127,222],"vulnerable":[44],"the":[46,74,96,108,135,146,153,168,171,186,192,202,205],"FDIA.":[47],"To":[48],"effectively":[49,182],"defend":[50],"against":[51,209],"an":[52,66,88,105,128],"FDIA,":[53],"this":[55],"paper,":[56],"we":[57],"propose":[58],"robust":[60],"deviation-based":[61],"method,":[63],"which":[65],"additional":[67],"Kalman":[68,98,136,154],"filter":[69,99,137,155],"introduced":[71,97],"while":[72],"retaining":[73],"original":[75],"estimator,":[79],"so":[80],"there":[82,126],"are":[83],"two":[84,175,193],"state":[85],"estimators.":[86],"Moreover,":[87],"exponential":[89,147],"weighting":[90,148],"function":[91],"also":[93,223],"applied":[94],"our":[101],"proposed":[102,206],"method.":[103],"When":[104],"FDIA":[106],"occurs,":[107],"results":[110,172,200],"of":[111,131,164,170,173,188,204,213],"depend":[116],"only":[117],"on":[118,139,145,219],"meter":[119],"measurements":[120,151,190],"at":[121],"each":[122],"time":[123],"slot,":[124],"but":[125],"adjustment":[129],"process":[130],"estimated":[132,150,189],"states":[133],"for":[134,160],"based":[138,144],"historical":[140],"states'":[141],"transitions.":[142],"Meanwhile,":[143],"function,":[149],"be":[157,181],"adaptively":[158],"suppressed":[159],"different":[161,214],"strengths":[163,216],"FDIAs,":[165],"then":[167],"difference":[169],"these":[174],"estimators":[176,194],"increases.":[177],"Subsequently,":[178],"FDIAs":[179],"detected":[183],"by":[184],"checking":[185],"deviation":[187],"about":[191],"threshold.":[198],"Experimental":[199],"validate":[201],"effectiveness":[203],"FDIAs.":[210],"The":[211],"impact":[212],"noise":[218],"performance":[221],"evaluated":[224],"analyzed.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}