{"id":"https://openalex.org/W3116466274","doi":"https://doi.org/10.1109/tsg.2020.3047864","title":"Robust Electricity Theft Detection Against Data Poisoning Attacks in Smart Grids","display_name":"Robust Electricity Theft Detection Against Data Poisoning Attacks in Smart Grids","publication_year":2020,"publication_date":"2020-12-29","ids":{"openalex":"https://openalex.org/W3116466274","doi":"https://doi.org/10.1109/tsg.2020.3047864","mag":"3116466274"},"language":"en","primary_location":{"id":"doi:10.1109/tsg.2020.3047864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2020.3047864","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","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/A5051240125","display_name":"Abdulrahman Takiddin","orcid":"https://orcid.org/0000-0003-4793-003X"},"institutions":[{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA"],"is_corresponding":true,"raw_author_name":"Abdulrahman Takiddin","raw_affiliation_strings":["ECEN Program, Texas A&M University at Qatar, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"ECEN Program, Texas A&M University at Qatar, Doha, Qatar","institution_ids":["https://openalex.org/I58152225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077148915","display_name":"Muhammad Ismail","orcid":"https://orcid.org/0000-0002-8051-9747"},"institutions":[{"id":"https://openalex.org/I63920570","display_name":"Tennessee Technological University","ror":"https://ror.org/05drmrq39","country_code":"US","type":"education","lineage":["https://openalex.org/I63920570"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muhammad Ismail","raw_affiliation_strings":["Tennessee Tech University, Cookeville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Tennessee Tech University, Cookeville, TN, USA","institution_ids":["https://openalex.org/I63920570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051500206","display_name":"Usman Zafar","orcid":"https://orcid.org/0000-0001-5819-6024"},"institutions":[{"id":"https://openalex.org/I4210144839","display_name":"Hamad bin Khalifa University","ror":"https://ror.org/03eyq4y97","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210144839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Usman Zafar","raw_affiliation_strings":["Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University, Doha, Qatar","institution_ids":["https://openalex.org/I4210144839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034213361","display_name":"Erchin Serpedin","orcid":"https://orcid.org/0000-0001-9069-770X"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erchin Serpedin","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051240125"],"corresponding_institution_ids":["https://openalex.org/I58152225"],"apc_list":null,"apc_paid":null,"fwci":5.0836,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.96209901,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","issue":"3","first_page":"2675","last_page":"2684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9764999747276306,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9653000235557556,"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/detector","display_name":"Detector","score":0.8588706851005554},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7903153300285339},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6071262359619141},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5083181262016296},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4464516043663025},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.44043493270874023},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4251430034637451},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4017180800437927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3878646790981293},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35962677001953125},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13236796855926514},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12226590514183044}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.8588706851005554},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7903153300285339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6071262359619141},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5083181262016296},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4464516043663025},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.44043493270874023},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4251430034637451},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4017180800437927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3878646790981293},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35962677001953125},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13236796855926514},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12226590514183044},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsg.2020.3047864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2020.3047864","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G6883108313","display_name":null,"funder_award_id":"NPRP10-1223-160045","funder_id":"https://openalex.org/F4320332753","funder_display_name":"Qatar National Research Fund"}],"funders":[{"id":"https://openalex.org/F4320332753","display_name":"Qatar National Research Fund","ror":"https://ror.org/01svaqq28"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1954543701","https://openalex.org/W2021022350","https://openalex.org/W2115627867","https://openalex.org/W2212529815","https://openalex.org/W2312446965","https://openalex.org/W2469098733","https://openalex.org/W2785509559","https://openalex.org/W2800562601","https://openalex.org/W2805467117","https://openalex.org/W2807858633","https://openalex.org/W2889751219","https://openalex.org/W2908494195","https://openalex.org/W2962763344","https://openalex.org/W2963403868","https://openalex.org/W2965721486","https://openalex.org/W2968807154","https://openalex.org/W2970787446","https://openalex.org/W2978986055","https://openalex.org/W2990825125","https://openalex.org/W3005548505","https://openalex.org/W3015840166","https://openalex.org/W3035922394","https://openalex.org/W3088839307","https://openalex.org/W3094609729","https://openalex.org/W4385245566","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W4375867731","https://openalex.org/W2349391998","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2000775715","https://openalex.org/W4205302943","https://openalex.org/W2795393339","https://openalex.org/W2142795561","https://openalex.org/W2770593030"],"abstract_inverted_index":{"Data-driven":[0],"electricity":[1],"theft":[2],"detectors":[3,21,32,96,118,128,135],"rely":[4],"on":[5,59,160],"customers'":[6],"reported":[7],"energy":[8],"consumption":[9],"readings":[10],"to":[11,78,105,114],"detect":[12],"malicious":[13],"behavior.":[14],"One":[15],"common":[16],"implicit":[17],"assumption":[18],"in":[19,137,193],"such":[20],"is":[22,52,65,186],"the":[23,27,53,60,80,138,146,194],"correct":[24],"labeling":[25],"of":[26,55,109,112,140,196],"training":[28],"data.":[29],"Unfortunately,":[30],"these":[31],"are":[33],"vulnerable":[34],"against":[35,68,83,149],"data":[36,56,69,84,99,141,150,198],"poisoning":[37,57,70,85,100,142,151,199],"attacks":[38,58,101],"that":[39,102,185],"assume":[40],"false":[41],"labels":[42],"during":[43],"training.":[44],"This":[45],"article":[46],"addresses":[47],"three":[48],"major":[49],"problems:":[50],"What":[51],"impact":[54],"detector's":[61,81],"performance?":[62],"Which":[63],"detector":[64,158,179],"more":[66],"robust":[67,178],"attacks,":[71,152],"i.e.,":[72],"generalized":[73],"or":[74],"customer-specific":[75,134],"detectors?":[76],"How":[77],"improve":[79],"robustness":[82,148],"attacks?":[86],"Our":[87],"investigations":[88],"reveal":[89],"that:":[90],"(a)":[91],"Shallow":[92],"and":[93,171],"deep":[94,117,162],"learning-based":[95],"suffer":[97],"from":[98],"may":[103],"lead":[104],"a":[106,155,161,181],"significant":[107],"deterioration":[108],"detection":[110,183],"rate":[111],"up":[113],"17%.":[115],"Furthermore,":[116],"offer":[119],"12%":[120],"performance":[121,131,184],"improvement":[122,132],"over":[123,133],"shallow":[124],"detectors.":[125],"(b)":[126],"Generalized":[127],"present":[129],"4%":[130],"even":[136],"presence":[139,195],"attacks.":[143,200],"To":[144],"enhance":[145],"detectors'":[147],"we":[153],"propose":[154],"sequential":[156],"ensemble":[157],"based":[159],"auto-encoder":[163],"with":[164],"attention":[165],"(AEA),":[166],"gated":[167],"recurrent":[168],"units":[169],"(GRUs),":[170],"feed":[172],"forward":[173],"neural":[174],"networks.":[175],"The":[176],"proposed":[177],"retains":[180],"stable":[182],"deteriorated":[187],"only":[188],"by":[189],"1":[190],"-":[191],"3%":[192],"strong":[197]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":13}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
