{"id":"https://openalex.org/W3088919317","doi":"https://doi.org/10.1109/icc40277.2020.9149315","title":"DE-RUSBoost: An Efficient Electricity Theft Detection Scheme with Additive Communication Layer","display_name":"DE-RUSBoost: An Efficient Electricity Theft Detection Scheme with Additive Communication Layer","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3088919317","doi":"https://doi.org/10.1109/icc40277.2020.9149315","mag":"3088919317"},"language":"en","primary_location":{"id":"doi:10.1109/icc40277.2020.9149315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9149315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","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/A5009622049","display_name":"Sana Mujeeb","orcid":"https://orcid.org/0000-0002-4975-7085"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Sana Mujeeb","raw_affiliation_strings":["Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055380996","display_name":"Nadeem Javaid","orcid":"https://orcid.org/0000-0003-3777-8249"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Nadeem Javaid","raw_affiliation_strings":["Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032253604","display_name":"Rabiya Khalid","orcid":"https://orcid.org/0000-0001-6257-9941"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Rabiya Khalid","raw_affiliation_strings":["Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031927335","display_name":"Muhammad Imran","orcid":"https://orcid.org/0000-0002-6946-2591"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Muhammad Imran","raw_affiliation_strings":["College of Applied Computer Science, King Saud University, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Applied Computer Science, King Saud University, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046978301","display_name":"Nidal Naseer","orcid":null},"institutions":[{"id":"https://openalex.org/I134359838","display_name":"Alfaisal University","ror":"https://ror.org/00cdrtq48","country_code":"SA","type":"education","lineage":["https://openalex.org/I134359838"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Nidal Naseer","raw_affiliation_strings":["College of Engineering, Alfaisal University, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Alfaisal University, Saudi Arabia","institution_ids":["https://openalex.org/I134359838"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8626,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.91863994,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9642000198364258,"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/computer-science","display_name":"Computer science","score":0.7423378229141235},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.6275705695152283},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5353869199752808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5014834403991699},{"id":"https://openalex.org/keywords/metering-mode","display_name":"Metering mode","score":0.48906952142715454},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4699184000492096},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4168214499950409},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39953479170799255},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15342947840690613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423378229141235},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.6275705695152283},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5353869199752808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5014834403991699},{"id":"https://openalex.org/C30905978","wikidata":"https://www.wikidata.org/wiki/Q815598","display_name":"Metering mode","level":2,"score":0.48906952142715454},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4699184000492096},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4168214499950409},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39953479170799255},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15342947840690613},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icc40277.2020.9149315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9149315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},{"id":"pmh:vital:16672","is_oa":false,"landing_page_url":"http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/185431","pdf_url":null,"source":{"id":"https://openalex.org/S4306400234","display_name":"FedUni ResearchOnline (Federation University Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210158496","host_organization_name":"Australian Federation of University Women \u2013 South Australia","host_organization_lineage":["https://openalex.org/I4210158496"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1619735662","https://openalex.org/W1673310716","https://openalex.org/W2324636697","https://openalex.org/W2517525317","https://openalex.org/W2551730448","https://openalex.org/W2580859433","https://openalex.org/W2608730641","https://openalex.org/W2622942004","https://openalex.org/W2758886762","https://openalex.org/W2776990447","https://openalex.org/W2786209303","https://openalex.org/W2789012589","https://openalex.org/W2795113588","https://openalex.org/W2831439818","https://openalex.org/W2889751219","https://openalex.org/W2898125895","https://openalex.org/W2911528396","https://openalex.org/W2912812282","https://openalex.org/W2912843585","https://openalex.org/W2913306795","https://openalex.org/W2914738292","https://openalex.org/W2954104732","https://openalex.org/W6637131181","https://openalex.org/W6758551152"],"related_works":["https://openalex.org/W2384104878","https://openalex.org/W2360352189","https://openalex.org/W2082239223","https://openalex.org/W2351145417","https://openalex.org/W4288765096","https://openalex.org/W2054457760","https://openalex.org/W2393320459","https://openalex.org/W2741929697","https://openalex.org/W3082059448","https://openalex.org/W4313640622"],"abstract_inverted_index":{"Modern":[0],"power":[1],"grids":[2],"depend":[3],"on":[4,166],"the":[5,37,43,55,90,98,104,180],"Advanced":[6],"Metering":[7],"Infrastructure":[8],"(AMI)":[9],"for":[10,62,145],"consumption":[11,78],"monitoring,":[12],"energy":[13],"management":[14],"and":[15,185,202],"billing.":[16],"However,":[17],"AMIs":[18],"are":[19,59],"vulnerable":[20],"to":[21,27,73,88],"electricity":[22,44],"theft":[23,33],"cyber":[24],"attacks":[25],"due":[26],"addition":[28],"of":[29,36,106,112,174,183,190,200],"communication":[30],"layer.":[31],"Electricity":[32,63],"is":[34,80,129,132,143,150,164],"one":[35],"major":[38],"Non-Technical":[39],"Losses":[40],"(NTLs)":[41],"in":[42,67,198],"distribution":[45],"systems":[46],"that":[47,131],"has":[48],"become":[49],"a":[50,153,167],"global":[51],"concern,":[52],"recently.":[53],"Although":[54],"machine":[56],"learning":[57],"techniques":[58],"widely":[60],"used":[61,144],"Theft":[64],"Detection":[65],"(ETD)":[66],"literature,":[68],"some":[69],"significant":[70],"challenges":[71],"need":[72],"be":[74,85,115],"address.":[75],"(i)":[76],"The":[77,93,110,161,192],"data":[79],"usually":[81],"unlabeled,":[82],"there":[83],"should":[84],"proper":[86,118],"method":[87,163,194],"label":[89],"data.":[91],"(ii)":[92],"fair":[94],"consumers":[95],"significantly":[96],"outnumber":[97],"fraudulent":[99],"consumers,":[100],"which":[101],"negatively":[102],"impacts":[103],"performance":[105,111,119],"classification":[107],"algorithm.":[108],"(iii)":[109],"classifier":[113,135,148],"must":[114],"validated":[116],"using":[117,152],"evaluation":[120],"measures.":[121],"In":[122],"this":[123],"paper,":[124],"an":[125,133],"enhanced":[126],"ETD":[127],"model":[128],"proposed":[130,162,193],"optimized":[134,151],"Differential":[136,158],"Evaluation":[137,159],"Random":[138],"Under":[139],"Sampling":[140],"Boosting":[141],"(DE-RUSBoost)":[142],"classification.":[146],"Proposed":[147],"DE-RUSBoost":[149,178],"metaheuristic":[154],"optimization":[155],"algorithm":[156],"named":[157],"(DE).":[160],"evaluated":[165],"real-world":[168],"dataset,":[169],"i.e.,":[170],"State":[171],"Grid":[172],"Corporation":[173],"China":[175],"(SGCC)":[176],"datasets.":[177],"achieves":[179],"highest":[181],"accuracy":[182,201],"96%":[184],"low":[186],"false":[187,203],"detection":[188,204],"rate":[189],"0.004.":[191],"outperforms":[195],"its":[196],"counterparts":[197],"terms":[199],"rate.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
