{"id":"https://openalex.org/W6888490977","doi":"https://doi.org/10.21227/2rma-ns54","title":"binaryAllNaturalPlusNormalVsAttacks","display_name":"binaryAllNaturalPlusNormalVsAttacks","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W6888490977","doi":"https://doi.org/10.21227/2rma-ns54"},"language":"en","primary_location":{"id":"doi:10.21227/2rma-ns54","is_oa":true,"landing_page_url":"https://doi.org/10.21227/2rma-ns54","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/2rma-ns54","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Gu, Guomin","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gu, Guomin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/tripping","display_name":"Tripping","score":0.6568999886512756},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.43369999527931213},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4262000024318695},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4034000039100647},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.38370001316070557},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.3711000084877014},{"id":"https://openalex.org/keywords/production-line","display_name":"Production line","score":0.35010001063346863},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.3418999910354614},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.33869999647140503}],"concepts":[{"id":"https://openalex.org/C2779733308","wikidata":"https://www.wikidata.org/wiki/Q17146464","display_name":"Tripping","level":3,"score":0.6568999886512756},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.43369999527931213},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4262000024318695},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4034000039100647},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.38370001316070557},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3749000132083893},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3711000084877014},{"id":"https://openalex.org/C99862985","wikidata":"https://www.wikidata.org/wiki/Q10858068","display_name":"Production line","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3330000042915344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3321000039577484},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32580000162124634},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.31220000982284546},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C14794904","wikidata":"https://www.wikidata.org/wiki/Q189859","display_name":"Steam turbine","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C92311004","wikidata":"https://www.wikidata.org/wiki/Q80638","display_name":"Hydroelectricity","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.26589998602867126},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.25870001316070557},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/2rma-ns54","is_oa":true,"landing_page_url":"https://doi.org/10.21227/2rma-ns54","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.21227/2rma-ns54","is_oa":true,"landing_page_url":"https://doi.org/10.21227/2rma-ns54","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6310469508171082,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"ZJT":[0,43],"datasets:":[1],"It":[2,133,181,193],"was":[3,17,88,100,110,182,217],"collected":[4,136,168,183,218],"from":[5,25,47,57,90,139,148,219],"the":[6,64,114,155,164,172],"production":[7,33,49,121],"line":[8,202],"of":[9,32,66,76,197,224],"China":[10],"Tobacco":[11],"Zhejiang":[12],"Industrial":[13,93],"Company.":[14],"The":[15,74,86,127,144,151,214,222],"data":[16,87,135,212],"sampled":[18],"every":[19,137],"two":[20],"seconds":[21],"for":[22],"a":[23,30,45,91,103],"week":[24],"162":[26],"sensors":[27,141],"deployed":[28],"on":[29],"variety":[31],"devices":[34],"(e.g.,":[35],"paper":[36],"cut-ting":[37],"wheel,":[38],"power":[39,120,125],"supply,":[40],"etc.).":[41],"Since":[42],"is":[44,82,167,230],"dataset":[46,84,128,216],"real-world":[48],"line,":[50],"it":[51],"does":[52],"not":[53],"contain":[54],"serious":[55],"anoma-lies":[56],"accidents":[58],"or":[59],"attacks.":[60],"Thus,":[61],"we":[62],"treat":[63],"states":[65,78,81,226,229],"transforming":[67],"between":[68],"different":[69],"producing":[70],"modes":[71],"as":[72],"anoma-lies.":[73],"ratio":[75,223],"normal":[77,225],"to":[79,112,227],"abnormal":[80,177,228],"4:1.HAI":[83],":":[85,180],"gathered":[89],"practical":[92],"Control":[94],"System":[95],"(ICS)":[96],"test":[97],"environment,":[98],"which":[99],"enhanced":[101],"with":[102],"Hardware-In-the-Loop":[104],"(HIL)":[105],"simulation":[106],"system.":[107],"This":[108],"system":[109],"designed":[111],"mimic":[113],"processes":[115],"involved":[116],"in":[117,161],"steam":[118],"turbine":[119],"and":[122,142,154,171,188,211],"pumped-storage":[123],"hydroelectric":[124],"generation.":[126],"collection":[129],"spans":[130],"11":[131],"days.":[132],"contains":[134,175],"second":[138],"84":[140],"actuators.":[143],"anomalies":[145,170],"are":[146,158],"generated":[147],"50":[149],"cyber-attacks.":[150],"training":[152,165],"set":[153,157,166,174],"testing":[156,173],"explicitly":[159],"separated":[160],"HAI,":[162],"where":[163],"without":[169],"1/40":[176],"samples.PS":[178],"datasets":[179],"by":[184],"Mississippi":[185],"State":[186],"Uni-versity":[187],"Oak":[189],"Ridge":[190],"National":[191],"Laboratory.":[192],"involves":[194],"five":[195],"types":[196],"anomalies,":[198],"including":[199],"short-circuit":[200],"fault,":[201],"mainte-nance,":[203],"remote":[204],"tripping":[205],"command":[206],"injection,":[207],"relay":[208],"setting":[209],"change,":[210],"injection.":[213],"PS":[215],"128":[220],"sensors.":[221],"6:4.&nbsp;&nbsp;":[231]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
