{"id":"https://openalex.org/W4416411016","doi":"https://doi.org/10.1177/09596518251383250","title":"Robust secure fusion estimation for cyber-physical systems under hybrid attacks","display_name":"Robust secure fusion estimation for cyber-physical systems under hybrid attacks","publication_year":2025,"publication_date":"2025-11-20","ids":{"openalex":"https://openalex.org/W4416411016","doi":"https://doi.org/10.1177/09596518251383250"},"language":"en","primary_location":{"id":"doi:10.1177/09596518251383250","is_oa":false,"landing_page_url":"https://doi.org/10.1177/09596518251383250","pdf_url":null,"source":{"id":"https://openalex.org/S4210196624","display_name":"Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering","issn_l":"0959-6518","issn":["0959-6518","2041-3041"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","raw_type":"journal-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/A5042907475","display_name":"Zhouqiang Zheng","orcid":"https://orcid.org/0009-0005-4683-6393"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]},{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouqiang Zheng","raw_affiliation_strings":["Economic and Management Experimental Center, Zhejiang University of Finance and Economics, Hangzhou, P.R. China","School of Computer Science, Hangzhou Dianzi University, P.R. China"],"affiliations":[{"raw_affiliation_string":"Economic and Management Experimental Center, Zhejiang University of Finance and Economics, Hangzhou, P.R. China","institution_ids":["https://openalex.org/I90727586"]},{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, P.R. China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005994891","display_name":"Haiyu Song","orcid":"https://orcid.org/0000-0003-4772-2855"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiyu Song","raw_affiliation_strings":["Binjiang Institute of Artificial Intelligence, Zhejiang University of Technology, Hangzhou, P.R. China","School of Information Science and Technology, University of Science and Technology of China, Hefei, P.R. China","School of Information Technology and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"Binjiang Institute of Artificial Intelligence, Zhejiang University of Technology, Hangzhou, P.R. China","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, P.R. China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Information Technology and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou, P.R. China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082765502","display_name":"Jinglong Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinglong Fang","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, P.R. China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005994891"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I4210123185","https://openalex.org/I90727586"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41912779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"240","issue":"3","first_page":"536","last_page":"551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.5726000070571899,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.5726000070571899,"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":0.24140000343322754,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.03400000184774399,"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/estimator","display_name":"Estimator","score":0.6890000104904175},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6200000047683716},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.504800021648407},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4699000120162964},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4284000098705292},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.42260000109672546},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.3968999981880188},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.39649999141693115}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6890000104904175},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6200000047683716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5575000047683716},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.504800021648407},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4699000120162964},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4284000098705292},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.42260000109672546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40149998664855957},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.3968999981880188},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.39649999141693115},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.39100000262260437},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.37470000982284546},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.3736000061035156},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37040001153945923},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.36090001463890076},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.328000009059906},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.26249998807907104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/09596518251383250","is_oa":false,"landing_page_url":"https://doi.org/10.1177/09596518251383250","pdf_url":null,"source":{"id":"https://openalex.org/S4210196624","display_name":"Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering","issn_l":"0959-6518","issn":["0959-6518","2041-3041"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W901288969","https://openalex.org/W1980292767","https://openalex.org/W1984609538","https://openalex.org/W2025989980","https://openalex.org/W2095509930","https://openalex.org/W2120331976","https://openalex.org/W2192655208","https://openalex.org/W2472973671","https://openalex.org/W2559834838","https://openalex.org/W2615951371","https://openalex.org/W2762155482","https://openalex.org/W2796031219","https://openalex.org/W2896832338","https://openalex.org/W2923594385","https://openalex.org/W2963972845","https://openalex.org/W2966488569","https://openalex.org/W2969350990","https://openalex.org/W2987272366","https://openalex.org/W2990495437","https://openalex.org/W3037922012","https://openalex.org/W3093404416","https://openalex.org/W3093483185","https://openalex.org/W3177691084","https://openalex.org/W3182287913","https://openalex.org/W3198609506","https://openalex.org/W4200057905","https://openalex.org/W4220980178","https://openalex.org/W4292258978","https://openalex.org/W4306292295","https://openalex.org/W4311175274","https://openalex.org/W4313171507","https://openalex.org/W4316660654","https://openalex.org/W4319964761","https://openalex.org/W4321354397","https://openalex.org/W4321484896","https://openalex.org/W4322706860","https://openalex.org/W4362514681","https://openalex.org/W4376868955","https://openalex.org/W4377028648","https://openalex.org/W4381748126","https://openalex.org/W4385413275","https://openalex.org/W4386890757","https://openalex.org/W4387546249","https://openalex.org/W4389373324","https://openalex.org/W4389383434","https://openalex.org/W4390423709","https://openalex.org/W4400446922","https://openalex.org/W4403390166","https://openalex.org/W4409257463"],"related_works":[],"abstract_inverted_index":{"This":[0,149],"study":[1],"proposes":[2],"a":[3,51,59,129,143,176],"new":[4],"theoretical":[5],"framework":[6,40,71],"focused":[7],"on":[8,43,83,116],"enhancing":[9],"multi-sensor":[10],"fusion":[11,62,132,147,150,170],"estimation":[12,67,85,171,186],"within":[13,102],"cyber-physical":[14],"systems,":[15],"particularly":[16],"in":[17,187],"scenarios":[18],"where":[19],"sensor":[20,157],"data":[21,35,158,191],"may":[22],"be":[23],"disrupted":[24],"by":[25,73],"hybrid":[26,47,90,163],"attacks,":[27],"which":[28,54],"involve":[29],"both":[30],"denial-of-service":[31],"(DoS)":[32],"and":[33,159],"false":[34],"injection":[36],"(FDI)":[37],"attacks.":[38,164],"The":[39,70,165],"is":[41,134,173],"built":[42],"the":[44,56,98,121,124,153],"assumption":[45],"that":[46,78],"attacks":[48,91],"occurrence":[49],"follows":[50],"Bernoulli":[52],"distribution,":[53],"informs":[55],"design":[57],"of":[58,123,155,167],"robust":[60,76,140,169],"secure":[61],"estimator":[63],"aimed":[64],"at":[65,107],"minimizing":[66],"error":[68,86,117],"variance.":[69],"begins":[72],"designing":[74],"local":[75,84,99,139],"estimators":[77,104],"maintain":[79],"an":[80],"upper":[81,114],"bound":[82,115],"covariance,":[87],"even":[88],"when":[89],"introduce":[92],"parameter":[93],"uncertainties.":[94],"To":[95,119],"further":[96],"optimize":[97],"estimation,":[100,128],"parameters":[101],"these":[103],"are":[105],"adjusted":[106],"each":[108],"time":[109],"step":[110],"to":[111,136,181,190],"minimize":[112],"this":[113,168],"covariance.":[118],"improve":[120],"accuracy":[122],"overall":[125],"system":[126],"state":[127,185],"covariance":[130],"intersection":[131],"strategy":[133],"applied":[135],"combine":[137],"all":[138],"estimates":[141],"into":[142],"single,":[144],"more":[145],"reliable":[146],"estimate.":[148],"approach":[151],"mitigates":[152],"effects":[154],"compromised":[156],"enhances":[160],"resilience":[161],"against":[162],"efficacy":[166],"scheme":[172],"demonstrated":[174],"through":[175],"simulation,":[177],"highlighting":[178],"its":[179],"potential":[180],"provide":[182],"secure,":[183],"accurate":[184],"environments":[188],"vulnerable":[189],"manipulation.":[192]},"counts_by_year":[],"updated_date":"2026-03-17T06:59:57.516163","created_date":"2025-11-20T00:00:00"}