{"id":"https://openalex.org/W4413679342","doi":"https://doi.org/10.1109/csr64739.2025.11130018","title":"Anomaly Identification in Power Systems Using Dynamic State Estimation and Deep Learning","display_name":"Anomaly Identification in Power Systems Using Dynamic State Estimation and Deep Learning","publication_year":2025,"publication_date":"2025-08-04","ids":{"openalex":"https://openalex.org/W4413679342","doi":"https://doi.org/10.1109/csr64739.2025.11130018"},"language":"en","primary_location":{"id":"doi:10.1109/csr64739.2025.11130018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr64739.2025.11130018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Cyber Security and Resilience (CSR)","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/A5114301594","display_name":"Fahad Alsaeed","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fahad Alsaeed","raw_affiliation_strings":["Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116213517","display_name":"Emad Abukhousa","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emad Abukhousa","raw_affiliation_strings":["Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114553975","display_name":"Syed Sohail Feroz Syed Afroz","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Syed Sohail Feroz Syed Afroz","raw_affiliation_strings":["Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069865143","display_name":"Abdulaziz Qwbaiban","orcid":"https://orcid.org/0000-0001-6431-8286"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdulaziz Qwbaiban","raw_affiliation_strings":["Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082252730","display_name":"A. P. Sakis Meliopoulos","orcid":"https://orcid.org/0000-0003-4262-0497"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A.P. Sakis Meliopoulos","raw_affiliation_strings":["Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114301594"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":2.8414,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92516779,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"530","last_page":"536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9793999791145325,"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":0.9793999791145325,"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":0.9736999869346619,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.963699996471405,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/identification","display_name":"Identification (biology)","score":0.6410046219825745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5871635675430298},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5181830525398254},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.508986234664917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45894140005111694},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4204499423503876},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4119933545589447},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3768584728240967},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1227637529373169},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11702802777290344},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.07073017954826355}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6410046219825745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5871635675430298},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5181830525398254},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.508986234664917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45894140005111694},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4204499423503876},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4119933545589447},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3768584728240967},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1227637529373169},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11702802777290344},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.07073017954826355},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csr64739.2025.11130018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr64739.2025.11130018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Cyber Security and Resilience (CSR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1598852905","https://openalex.org/W2596521981","https://openalex.org/W2783444078","https://openalex.org/W2883789552","https://openalex.org/W3004049203","https://openalex.org/W3035716901","https://openalex.org/W3113410850","https://openalex.org/W3144087169","https://openalex.org/W3163895120","https://openalex.org/W3175003387","https://openalex.org/W4285103533","https://openalex.org/W4315647204","https://openalex.org/W4361186124","https://openalex.org/W4367281833","https://openalex.org/W4387197072","https://openalex.org/W4388802072"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"With":[0],"the":[1,13,51,57,70,80,86,90,93,98,117,137,150],"expansion":[2],"of":[3,59,89,126,153],"cyber":[4,10],"assets":[5],"in":[6,106,156],"modern":[7],"power":[8],"systems,":[9],"vulnerabilities":[11],"and":[12,39,47,122,146,160],"attack":[14],"surface":[15],"have":[16],"significantly":[17],"increased.":[18],"This":[19,128],"paper":[20],"presents":[21],"an":[22],"anomaly":[23],"identification":[24],"scheme":[25,99],"to":[26,120],"ensure":[27],"data":[28,32,102],"validity":[29],"against":[30],"false":[31],"injection":[33],"attacks":[34],"(FDIA)":[35],"by":[36],"combining":[37],"model-based":[38],"datadriven":[40],"techniques,":[41],"specifically":[42],"dynamic":[43],"state":[44],"estimation":[45],"(DSE)":[46],"deep":[48],"learning.":[49],"In":[50],"proposed":[52],"method,":[53],"DSE":[54,75,141],"first":[55],"detects":[56],"presence":[58],"anomalies.":[60,127],"Next,":[61],"a":[62],"neural":[63],"network":[64],"(NN)":[65],"model":[66],"generates":[67],"hypotheses":[68],"about":[69],"possible":[71],"root":[72,87,94],"cause,":[73],"which":[74],"then":[76],"asserts":[77],"or":[78],"rejects":[79],"hypothesis.":[81],"The":[82],"asserted":[83],"hypothesis":[84],"provides":[85],"cause":[88,95],"anomaly.":[91],"Once":[92],"is":[96],"identified,":[97],"replaces":[100],"compromised":[101],"with":[103,112],"corrected":[104],"values":[105],"real-time,":[107],"enabling":[108],"self-healing.":[109],"Numerical":[110],"experiments":[111],"various":[113],"realistic":[114],"cyber-attacks":[115],"demonstrate":[116],"method\u2019s":[118],"capability":[119],"identify":[121],"distinguish":[123],"between":[124],"types":[125],"study":[129],"also":[130],"evaluates":[131],"different":[132],"input":[133],"feature":[134],"sets":[135],"for":[136],"NN":[138,158],"model,":[139],"including":[140],"residuals,":[142],"sampled":[143],"value":[144],"measurements,":[145,148],"RMS":[147],"highlighting":[149],"critical":[151],"role":[152],"synchronized":[154],"measurements":[155],"training":[157],"models":[159],"enhancing":[161],"their":[162],"performance.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
