{"id":"https://openalex.org/W3154245244","doi":"https://doi.org/10.1109/ipccc50635.2020.9391541","title":"A sensor attack detection method based on fusion interval and historical measurement in CPS","display_name":"A sensor attack detection method based on fusion interval and historical measurement in CPS","publication_year":2020,"publication_date":"2020-11-06","ids":{"openalex":"https://openalex.org/W3154245244","doi":"https://doi.org/10.1109/ipccc50635.2020.9391541","mag":"3154245244"},"language":"en","primary_location":{"id":"doi:10.1109/ipccc50635.2020.9391541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc50635.2020.9391541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 39th International Performance Computing and Communications Conference (IPCCC)","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/A5108581005","display_name":"Xiaobo Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I195019228","display_name":"Yunnan Agricultural University","ror":"https://ror.org/04dpa3g90","country_code":"CN","type":"education","lineage":["https://openalex.org/I195019228"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Cai","raw_affiliation_strings":["College of big data, Yunnan Agricultural University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of big data, Yunnan Agricultural University, Kunming, China","institution_ids":["https://openalex.org/I195019228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075962650","display_name":"Ke Han","orcid":"https://orcid.org/0000-0002-7308-3244"},"institutions":[{"id":"https://openalex.org/I47948057","display_name":"Kunming Metallurgy College","ror":"https://ror.org/04586n774","country_code":"CN","type":"education","lineage":["https://openalex.org/I47948057"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Han","raw_affiliation_strings":["School of electrical and mechanical engineering, Kunming Metallurgy College, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of electrical and mechanical engineering, Kunming Metallurgy College, Kunming, China","institution_ids":["https://openalex.org/I47948057"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071024482","display_name":"Yan Li","orcid":"https://orcid.org/0000-0002-0131-5720"},"institutions":[{"id":"https://openalex.org/I195019228","display_name":"Yunnan Agricultural University","ror":"https://ror.org/04dpa3g90","country_code":"CN","type":"education","lineage":["https://openalex.org/I195019228"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["College of big data, Yunnan Agricultural University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of big data, Yunnan Agricultural University, Kunming, China","institution_ids":["https://openalex.org/I195019228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352643","display_name":"Xuefei Li","orcid":"https://orcid.org/0000-0003-4455-2862"},"institutions":[{"id":"https://openalex.org/I195019228","display_name":"Yunnan Agricultural University","ror":"https://ror.org/04dpa3g90","country_code":"CN","type":"education","lineage":["https://openalex.org/I195019228"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefei Li","raw_affiliation_strings":["College of big data, Yunnan Agricultural University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of big data, Yunnan Agricultural University, Kunming, China","institution_ids":["https://openalex.org/I195019228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011120470","display_name":"Jiajin Zhang","orcid":"https://orcid.org/0000-0002-0040-9346"},"institutions":[{"id":"https://openalex.org/I195019228","display_name":"Yunnan Agricultural University","ror":"https://ror.org/04dpa3g90","country_code":"CN","type":"education","lineage":["https://openalex.org/I195019228"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajin Zhang","raw_affiliation_strings":["College of big data, Yunnan Agricultural University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of big data, Yunnan Agricultural University, Kunming, China","institution_ids":["https://openalex.org/I195019228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333646","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0001-6875-7761"},"institutions":[{"id":"https://openalex.org/I195019228","display_name":"Yunnan Agricultural University","ror":"https://ror.org/04dpa3g90","country_code":"CN","type":"education","lineage":["https://openalex.org/I195019228"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["College of big data, Yunnan Agricultural University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of big data, Yunnan Agricultural University, Kunming, China","institution_ids":["https://openalex.org/I195019228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2354,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7976983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9914000034332275,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9861999750137329,"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/cyber-physical-system","display_name":"Cyber-physical system","score":0.7539142370223999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6481181979179382},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6322906017303467},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.6293075084686279},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.43491172790527344},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4336298704147339},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3976028263568878},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.37769758701324463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3240799605846405},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10843288898468018},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07388654351234436}],"concepts":[{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.7539142370223999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6481181979179382},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6322906017303467},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.6293075084686279},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43491172790527344},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4336298704147339},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3976028263568878},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.37769758701324463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3240799605846405},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10843288898468018},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07388654351234436},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipccc50635.2020.9391541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc50635.2020.9391541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 39th International Performance Computing and Communications Conference (IPCCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320327291","display_name":"Yunnan Agricultural University","ror":"https://ror.org/04dpa3g90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W87635799","https://openalex.org/W1498395183","https://openalex.org/W1557652964","https://openalex.org/W1902725531","https://openalex.org/W1972757409","https://openalex.org/W1992554067","https://openalex.org/W2014297741","https://openalex.org/W2030140501","https://openalex.org/W2067091884","https://openalex.org/W2098863504","https://openalex.org/W2105934661","https://openalex.org/W2116520617","https://openalex.org/W2123990969","https://openalex.org/W2164755285","https://openalex.org/W2207856858","https://openalex.org/W2596389537","https://openalex.org/W2600521217","https://openalex.org/W2613846252","https://openalex.org/W2627024059","https://openalex.org/W2790661630","https://openalex.org/W2795895107","https://openalex.org/W2804566915","https://openalex.org/W2908277569","https://openalex.org/W2964228239","https://openalex.org/W2986455874","https://openalex.org/W3022296623","https://openalex.org/W3027678336","https://openalex.org/W3099793430","https://openalex.org/W4244375620","https://openalex.org/W6603557143","https://openalex.org/W6658382951","https://openalex.org/W6674727558"],"related_works":["https://openalex.org/W3004173571","https://openalex.org/W2546638913","https://openalex.org/W2209816623","https://openalex.org/W2968885840","https://openalex.org/W2008822734","https://openalex.org/W3135700974","https://openalex.org/W4313307484","https://openalex.org/W2086962923","https://openalex.org/W3094048663","https://openalex.org/W2368318636"],"abstract_inverted_index":{"Cyber-physical":[0],"systems":[1],"(CPS)":[2],"is":[3,104,120],"a":[4,45,105],"next-generation":[5],"intelligent":[6],"system":[7,69],"that":[8],"realizes":[9],"close":[10],"integration":[11],"of":[12,83,92,101,110,117],"computing,":[13],"communication":[14],"and":[15,27,38,54,67,95,131],"physical":[16,29],"elements":[17],"based":[18,50],"on":[19,51],"environmental":[20],"perception.":[21],"The":[22,42,57,114],"interaction":[23],"between":[24,127],"information":[25],"technology":[26],"the":[28,77,90,99,108,123],"world":[30],"makes":[31],"CPS":[32],"vulnerable":[33],"to":[34,72,121,129],"various":[35],"malicious":[36],"attacks":[37,133],"damage":[39],"Its":[40],"security.":[41],"paper":[43],"designs":[44],"sensor":[46,84],"attack":[47,78],"detection":[48,79],"method":[49,58,119],"fusion":[52,96],"interval":[53,97],"historical":[55,74,93],"measurement.":[56],"first":[59],"builds":[60],"different":[61,65],"fault":[62],"models":[63],"for":[64],"sensors,":[66],"uses":[68],"dynamics":[70],"equations":[71],"integrate":[73],"measurements":[75,109],"into":[76],"method.":[80],"Different":[81],"aspects":[82],"measurement":[85,94],"are":[86],"analyzed.":[87],"In":[88],"addition,":[89],"use":[91,122],"solves":[98],"problem":[100],"whether":[102],"there":[103],"failure":[106],"when":[107],"two":[111],"sensors":[112,128],"intersect.":[113],"core":[115],"idea":[116],"this":[118],"paired":[124],"inconsistent":[125],"relationship":[126],"detect":[130],"identify":[132],".":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}