{"id":"https://openalex.org/W4408281780","doi":"https://doi.org/10.1109/iecon55916.2024.10905649","title":"Cross-Domain Learning for Power Grid Security: Harnessing Human Physiology for Anomaly Detection","display_name":"Cross-Domain Learning for Power Grid Security: Harnessing Human Physiology for Anomaly Detection","publication_year":2024,"publication_date":"2024-11-03","ids":{"openalex":"https://openalex.org/W4408281780","doi":"https://doi.org/10.1109/iecon55916.2024.10905649"},"language":"en","primary_location":{"id":"doi:10.1109/iecon55916.2024.10905649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","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/A5092802010","display_name":"Asef Zadehgol-Mohammadi","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Asef Zadehgol-Mohammadi","raw_affiliation_strings":["University of Illinois at Chicago,Dept. of Electrical & Computer Engineering,IL,USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago,Dept. of Electrical & Computer Engineering,IL,USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029630831","display_name":"Mohammad B. Shadmand","orcid":"https://orcid.org/0000-0002-3950-8640"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad B. Shadmand","raw_affiliation_strings":["University of Illinois at Chicago,Dept. of Electrical & Computer Engineering,IL,USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago,Dept. of Electrical & Computer Engineering,IL,USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5092802010"],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2594335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9783999919891357,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9783999919891357,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9740999937057495,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7022976279258728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6633861660957336},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5158464312553406},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5096898078918457},{"id":"https://openalex.org/keywords/power-grid","display_name":"Power grid","score":0.4528277516365051},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.36298245191574097},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.352057546377182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2522444725036621},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10838860273361206}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7022976279258728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6633861660957336},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5158464312553406},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5096898078918457},{"id":"https://openalex.org/C2983254600","wikidata":"https://www.wikidata.org/wiki/Q1096907","display_name":"Power grid","level":3,"score":0.4528277516365051},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.36298245191574097},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.352057546377182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2522444725036621},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10838860273361206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon55916.2024.10905649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1901234129","https://openalex.org/W1981321957","https://openalex.org/W2064675550","https://openalex.org/W2211519047","https://openalex.org/W2743238037","https://openalex.org/W2769683010","https://openalex.org/W2787894218","https://openalex.org/W2953620480","https://openalex.org/W2995530650","https://openalex.org/W3136873430","https://openalex.org/W3142044733","https://openalex.org/W3217194976","https://openalex.org/W4234984547","https://openalex.org/W4285103550","https://openalex.org/W4288768897","https://openalex.org/W4302331569","https://openalex.org/W4312395355","https://openalex.org/W4320029505","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2105642232","https://openalex.org/W3207332793","https://openalex.org/W3197833032","https://openalex.org/W4386081464","https://openalex.org/W2499612753","https://openalex.org/W3113278055","https://openalex.org/W2750709484","https://openalex.org/W4296474495","https://openalex.org/W4388937474","https://openalex.org/W1892149550"],"abstract_inverted_index":{"This":[0,138],"work":[1],"presents":[2],"a":[3,96,148],"novel":[4],"approach":[5,174],"to":[6,72],"tackle":[7],"the":[8,35,46,50,60,66,73,76,90,100,151,164,173,180,195,200],"problem":[9],"of":[10,13,48,53,62,68,89,109,120,126,172,179],"real-time":[11],"detection":[12,186],"cyber":[14],"intrusions":[15,70],"at":[16,194],"power":[17],"electronics":[18],"dominated":[19],"grids":[20],"(PEDG)":[21],"inverters":[22],"by":[23,79,114,192],"establishing":[24],"an":[25],"analogy":[26,91],"between":[27,38,150],"electrical":[28],"and":[29,41,44,94,112,133,155,175],"medical":[30,201],"fields.":[31],"The":[32,86],"methodology":[33],"leverages":[34],"significant":[36],"similarities":[37],"electric":[39],"grid":[40,101,158],"human":[42],"body":[43,52],"posits":[45],"feasibility":[47],"utilizing":[49],"large":[51],"knowledge":[54,197],"available":[55],"in":[56,59,82,183,199],"medicine,":[57],"particularly":[58],"area":[61],"disease":[63],"diagnosis,":[64],"for":[65],"benefit":[67],"detecting":[69],"occurring":[71],"grid,":[74],"considering":[75],"tools":[77],"introduced":[78],"tremendous":[80],"advances":[81],"artificial":[83],"intelligence":[84],"(AI).":[85],"theoretical":[87],"foundation":[88],"is":[92,104,139],"discussed":[93],"as":[95],"first":[97],"validation":[98],"step,":[99],"inverter":[102],"voltage":[103,159],"classified":[105],"into":[106],"three":[107,118],"types":[108],"normal,":[110],"disturbed":[111],"anomalous":[113],"associating":[115],"it":[116],"with":[117],"classes":[119],"heart":[121],"rate":[122],"electrocardiogram":[123],"(ECG)":[124],"signals":[125],"normal":[127],"sinus":[128],"rhythm,":[129],"mild":[130],"arrhythmia":[131,135],"(supraventricular),":[132],"severe":[134],"(ventricular),":[136],"respectively.":[137],"done":[140],"via":[141],"AI-based":[142],"time":[143],"series":[144],"analyzers":[145],"which":[146],"establish":[147],"mapping":[149],"two":[152],"signal":[153],"categories":[154],"enable":[156],"classifying":[157],"based":[160],"on":[161],"ECG":[162],"using":[163],"trained":[165],"analyzer":[166],"block.":[167],"Achieved":[168],"results":[169],"demonstrate":[170],"validity":[171],"promise":[176],"addressing":[177],"one":[178],"main":[181],"challenges":[182],"developing":[184],"intrusion":[185],"systems,":[187],"that":[188],"is,":[189],"data":[190],"scarcity,":[191],"tapping":[193],"enormous":[196],"base":[198],"field.":[202]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}