{"id":"https://openalex.org/W3214578222","doi":"https://doi.org/10.1109/iecon48115.2021.9589353","title":"Worst-Case Stealthy False-Data Injection Attacks on Remote State Estimation","display_name":"Worst-Case Stealthy False-Data Injection Attacks on Remote State Estimation","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W3214578222","doi":"https://doi.org/10.1109/iecon48115.2021.9589353","mag":"3214578222"},"language":"en","primary_location":{"id":"doi:10.1109/iecon48115.2021.9589353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon48115.2021.9589353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2021 \u2013 47th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001092290","display_name":"Jing Zhou","orcid":"https://orcid.org/0000-0003-1676-5991"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jing Zhou","raw_affiliation_strings":["University of Alberta, Edmonton, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, CA","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080674902","display_name":"Jun Shang","orcid":"https://orcid.org/0000-0003-0624-3655"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jun Shang","raw_affiliation_strings":["University of Alberta, Edmonton, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, CA","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037989105","display_name":"Tongwen Chen","orcid":"https://orcid.org/0000-0002-1699-7947"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tongwen Chen","raw_affiliation_strings":["University of Alberta, Edmonton, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, CA","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.45,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53158245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9998999834060669,"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":0.9998999834060669,"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/T11424","display_name":"Security and Verification in Computing","score":0.9957000017166138,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9937000274658203,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7491637468338013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6518670916557312},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6077829599380493},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5863806009292603},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5841124653816223},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.47257864475250244},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.44537192583084106},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42797330021858215},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.413242906332016},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.41123533248901367},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3736363351345062},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3446362018585205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23670902848243713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19438216090202332},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1379648745059967},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1096659004688263}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7491637468338013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6518670916557312},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6077829599380493},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5863806009292603},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5841124653816223},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.47257864475250244},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.44537192583084106},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42797330021858215},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.413242906332016},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.41123533248901367},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3736363351345062},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3446362018585205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23670902848243713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19438216090202332},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1379648745059967},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1096659004688263},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon48115.2021.9589353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon48115.2021.9589353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2021 \u2013 47th Annual Conference of the IEEE Industrial Electronics Society","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":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2022810949","https://openalex.org/W2041587044","https://openalex.org/W2402911760","https://openalex.org/W2568479698","https://openalex.org/W2627024038","https://openalex.org/W2734974420","https://openalex.org/W2766003054","https://openalex.org/W2780545917","https://openalex.org/W2784198128","https://openalex.org/W2906912256","https://openalex.org/W2956904305","https://openalex.org/W2961536906","https://openalex.org/W2963955823","https://openalex.org/W3012541498","https://openalex.org/W3138139098","https://openalex.org/W3155614243","https://openalex.org/W3181784683","https://openalex.org/W3183805430"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W2366906938","https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W4385769873","https://openalex.org/W2015759683","https://openalex.org/W4281634296","https://openalex.org/W4319161863"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,23,31,38,52,66,78,88,100],"problem":[4],"of":[5,99],"false-data":[6],"injection":[7],"attacks":[8],"on":[9],"remote":[10,53],"state":[11],"estimation.":[12],"In":[13],"contrast":[14],"to":[15,87],"existing":[16],"work":[17,85],"that":[18,28,45],"presupposed":[19],"linear":[20,91],"attack":[21,26,75,92],"models,":[22],"optimal":[24,89],"information-based":[25,101],"policy":[27,76],"can":[29],"cause":[30],"maximum":[32],"estimation":[33],"quality":[34],"degradation":[35],"and":[36,108],"deceive":[37],"interval":[39],"\u03c72detector":[40],"is":[41,62,103],"obtained.":[42],"The":[43,81,97],"scenarios":[44],"attackers":[46],"have":[47],"different":[48],"information":[49,68],"sets":[50],"from":[51],"estimator":[54],"are":[55],"studied":[56],"in":[57,83,93],"a":[58,94],"unified":[59],"framework.":[60],"It":[61],"shown":[63],"that,":[64],"with":[65],"given":[67],"set,":[69],"there":[70],"does":[71],"not":[72],"exist":[73],"another":[74],"outperforms":[77],"proposed":[79],"one.":[80],"result":[82],"this":[84],"reduces":[86],"innovation-based":[90],"special":[95],"case.":[96],"optimality":[98],"strategy":[102],"verified":[104],"by":[105],"theoretical":[106],"analysis":[107],"numerical":[109],"examples.":[110]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
