{"id":"https://openalex.org/W3109556329","doi":"https://doi.org/10.1109/icca51439.2020.9264334","title":"Fusion Estimation for FDI Sensor Attacks in Distributed Systems","display_name":"Fusion Estimation for FDI Sensor Attacks in Distributed Systems","publication_year":2020,"publication_date":"2020-10-09","ids":{"openalex":"https://openalex.org/W3109556329","doi":"https://doi.org/10.1109/icca51439.2020.9264334","mag":"3109556329"},"language":"en","primary_location":{"id":"doi:10.1109/icca51439.2020.9264334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca51439.2020.9264334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Control & Automation (ICCA)","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/A5045460581","display_name":"Pindi Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pindi Weng","raw_affiliation_strings":["Department of Automation, Zhejiang University of Technology, Hangzhou, China","Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427262","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0001-6150-3881"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Chen","raw_affiliation_strings":["Department of Automation, Zhejiang University of Technology, Hangzhou, China","Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044938329","display_name":"Shijian Dong","orcid":"https://orcid.org/0000-0002-1752-5810"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijian Dong","raw_affiliation_strings":["Department of Automation, Zhejiang University of Technology, Hangzhou, China","Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100702456","display_name":"Li Yu","orcid":"https://orcid.org/0000-0003-3889-3863"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yu","raw_affiliation_strings":["Department of Automation, Zhejiang University of Technology, Hangzhou, China","Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045460581"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":0.5885,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68163944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"260","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9976000189781189,"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":0.9976000189781189,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9962000250816345,"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.9944999814033508,"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/kalman-filter","display_name":"Kalman filter","score":0.7740505933761597},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.7123044729232788},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.6642202734947205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.620907187461853},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6150487661361694},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5387753844261169},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.53709876537323},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5163951516151428},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5032510161399841},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4520180821418762},{"id":"https://openalex.org/keywords/state-vector","display_name":"State vector","score":0.4386553466320038},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41211560368537903},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.32798460125923157},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22230204939842224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21572774648666382},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1977742612361908},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.13083428144454956},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07068946957588196}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7740505933761597},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.7123044729232788},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.6642202734947205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.620907187461853},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6150487661361694},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5387753844261169},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.53709876537323},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5163951516151428},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5032510161399841},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4520180821418762},{"id":"https://openalex.org/C2777798563","wikidata":"https://www.wikidata.org/wiki/Q7603916","display_name":"State vector","level":2,"score":0.4386553466320038},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41211560368537903},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.32798460125923157},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22230204939842224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21572774648666382},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1977742612361908},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.13083428144454956},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07068946957588196},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca51439.2020.9264334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca51439.2020.9264334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Control & Automation (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1969334182","https://openalex.org/W1983026018","https://openalex.org/W2038651258","https://openalex.org/W2064183516","https://openalex.org/W2091497071","https://openalex.org/W2097025901","https://openalex.org/W2098897917","https://openalex.org/W2140985802","https://openalex.org/W2313114883","https://openalex.org/W2329192114","https://openalex.org/W2334643484","https://openalex.org/W2344429718","https://openalex.org/W2608020405","https://openalex.org/W2734555013","https://openalex.org/W2752217602","https://openalex.org/W2766003054","https://openalex.org/W2794852478","https://openalex.org/W2797025128","https://openalex.org/W2900341520","https://openalex.org/W2954637328","https://openalex.org/W2963301385","https://openalex.org/W2964172224","https://openalex.org/W2970910049"],"related_works":["https://openalex.org/W2103761320","https://openalex.org/W2358167375","https://openalex.org/W2031992971","https://openalex.org/W116564642","https://openalex.org/W2132659060","https://openalex.org/W2078821596","https://openalex.org/W1983380679","https://openalex.org/W1981649169","https://openalex.org/W3214791684","https://openalex.org/W2357354286"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,22,36,49,70,82,93,117,123],"concerned":[3],"with":[4],"the":[5,19,25,29,33,39,62,78,84,90,97,107,111,127,130],"estimation":[6,45,74,98,108,115],"problem":[7],"of":[8,86,109,129],"false":[9,20],"data":[10,21],"injection":[11],"(FDI)":[12],"attacks":[13,48],"in":[14],"distributed":[15,30,113],"networked":[16],"systems,":[17],"where":[18],"injected":[23],"into":[24],"sensor":[26,53],"measurements.":[27],"Under":[28],"fusion":[31,68,91,114],"framework,":[32],"attack":[34,80],"signal":[35,81],"modeled":[37],"as":[38],"state":[40,44],"vector,":[41],"then":[42],"local":[43],"including":[46],"FDI":[47,79],"obtained":[50],"at":[51],"each":[52],"based":[54,102],"on":[55,103],"adaptive":[56],"Kalman":[57],"filter.":[58],"Subsequently,":[59],"by":[60],"introducing":[61],"compensation":[63,87],"factor,":[64],"an":[65,120],"optimal":[66],"weighing":[67],"criterion":[69],"designed":[71],"to":[72,95,125],"improve":[73,96],"precision.":[75],"Particularly,":[76],"when":[77],"time-varying,":[83],"introduction":[85],"factor":[88],"during":[89],"process":[92],"able":[94],"precision":[99],"largely.":[100],"Then":[101],"measurement":[104],"that":[105],"minus":[106],"attack,":[110],"secure":[112],"algorithm":[116],"proposed.":[118],"Finally,":[119],"illustrative":[121],"example":[122],"used":[124],"show":[126],"effectiveness":[128],"proposed":[131],"method.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}