{"id":"https://openalex.org/W2806711735","doi":"https://doi.org/10.1145/3196494.3196551","title":"Towards Fast and Semi-supervised Identification of Smart Meters Launching Data Falsification Attacks","display_name":"Towards Fast and Semi-supervised Identification of Smart Meters Launching Data Falsification Attacks","publication_year":2018,"publication_date":"2018-05-29","ids":{"openalex":"https://openalex.org/W2806711735","doi":"https://doi.org/10.1145/3196494.3196551","mag":"2806711735"},"language":"en","primary_location":{"id":"doi:10.1145/3196494.3196551","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3196494.3196551","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3196494.3196551","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 on Asia Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3196494.3196551","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077299535","display_name":"Shameek Bhattacharjee","orcid":"https://orcid.org/0000-0003-3596-9447"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shameek Bhattacharjee","raw_affiliation_strings":["Missouri University of Science and Technology, Rolla, MO, USA"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002046459","display_name":"Aditya Thakur","orcid":"https://orcid.org/0000-0003-3176-6482"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aditya Thakur","raw_affiliation_strings":["Missouri University of Science and Technology, Rolla, MO, USA"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050881965","display_name":"Sajal K. Das","orcid":"https://orcid.org/0000-0002-9471-0868"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sajal K. Das","raw_affiliation_strings":["Missouri University of Science and Technology, Rolla, MO, USA"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077299535"],"corresponding_institution_ids":["https://openalex.org/I20382870"],"apc_list":null,"apc_paid":null,"fwci":1.5701,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.84062053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"173","last_page":"185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9958000183105469,"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/smart-meter","display_name":"Smart meter","score":0.7836949825286865},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7451543211936951},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.738594114780426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7354947328567505},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6399492025375366},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6245610117912292},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5348870158195496},{"id":"https://openalex.org/keywords/electricity-meter","display_name":"Electricity meter","score":0.5282166004180908},{"id":"https://openalex.org/keywords/metering-mode","display_name":"Metering mode","score":0.5267326831817627},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.44943156838417053},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4104555547237396},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3918408453464508},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36727339029312134},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.34877121448516846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33999282121658325},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.24921771883964539},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.21826881170272827},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1270306408405304}],"concepts":[{"id":"https://openalex.org/C2779510800","wikidata":"https://www.wikidata.org/wiki/Q1630602","display_name":"Smart meter","level":3,"score":0.7836949825286865},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7451543211936951},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.738594114780426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7354947328567505},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6399492025375366},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6245610117912292},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5348870158195496},{"id":"https://openalex.org/C67172668","wikidata":"https://www.wikidata.org/wiki/Q622756","display_name":"Electricity meter","level":3,"score":0.5282166004180908},{"id":"https://openalex.org/C30905978","wikidata":"https://www.wikidata.org/wiki/Q815598","display_name":"Metering mode","level":2,"score":0.5267326831817627},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.44943156838417053},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4104555547237396},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3918408453464508},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36727339029312134},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34877121448516846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33999282121658325},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.24921771883964539},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.21826881170272827},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1270306408405304},{"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},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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:10.1145/3196494.3196551","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3196494.3196551","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3196494.3196551","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 on Asia Conference on Computer and Communications Security","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3196494.3196551","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3196494.3196551","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3196494.3196551","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 on Asia Conference on Computer and Communications Security","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1317670001","display_name":"CPS: TTP Option: Synergy: Collaborative Research: Threat Assessment Tools for Management-Coupled Cyber- and Physical- Infrastructures","funder_award_id":"1545050","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1854747643","display_name":"CPS: Breakthrough: Collaborative Research: Securing Smart Grid by Understanding Communications Infrastructure Dependencies","funder_award_id":"1545037","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G698290943","display_name":null,"funder_award_id":"CNS-1545037, CNS-1545050","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8300270132","display_name":null,"funder_award_id":"CNS-1545050","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320312301","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2806711735.pdf","grobid_xml":"https://content.openalex.org/works/W2806711735.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W25531497","https://openalex.org/W129305155","https://openalex.org/W1550953152","https://openalex.org/W1984419556","https://openalex.org/W2009834578","https://openalex.org/W2014252769","https://openalex.org/W2034989888","https://openalex.org/W2038418498","https://openalex.org/W2039842676","https://openalex.org/W2040369587","https://openalex.org/W2044857874","https://openalex.org/W2044953202","https://openalex.org/W2052303336","https://openalex.org/W2060255269","https://openalex.org/W2102828313","https://openalex.org/W2105582581","https://openalex.org/W2106267320","https://openalex.org/W2175606741","https://openalex.org/W2212529815","https://openalex.org/W2224447828","https://openalex.org/W2312446965","https://openalex.org/W2529740945","https://openalex.org/W2535751405","https://openalex.org/W2602344644","https://openalex.org/W6665704809","https://openalex.org/W7039047678"],"related_works":["https://openalex.org/W4312869071","https://openalex.org/W2028978355","https://openalex.org/W25930971","https://openalex.org/W1990698919","https://openalex.org/W2077996342","https://openalex.org/W3018909029","https://openalex.org/W3205631650","https://openalex.org/W2775355700","https://openalex.org/W2561882072","https://openalex.org/W2246071452"],"abstract_inverted_index":{"Compromised":[0],"smart":[1,19,110,137,157],"meters":[2,138,220],"sending":[3],"false":[4,140],"power":[5],"consumption":[6],"data":[7,71,112,196],"in":[8,221],"Advanced":[9],"Metering":[10],"Infrastructure":[11],"(AMI)":[12],"may":[13],"have":[14,65,80],"drastic":[15],"consequences":[16],"on":[17],"the":[18,50,66,105,136,146,211],"grid\u00bbs":[20],"operation.":[21],"Most":[22],"existing":[23],"defense":[24],"models":[25],"only":[26],"deal":[27],"with":[28],"electricity":[29,86],"theft":[30],"from":[31,182,206],"individual":[32],"customers":[33],"(isolated":[34],"attacks)":[35],"using":[36,202],"supervised":[37,164],"classification":[38,171],"techniques":[39],"that":[40,103,131,160],"do":[41],"not":[42,163],"offer":[43],"scalable":[44],"or":[45],"real":[46,95,204,223],"time":[47,96,224],"solutions.":[48],"Furthermore,":[49],"cyber":[51],"and":[52,78,107,114,185,188,208],"interconnected":[53],"nature":[54],"of":[55,109,145,195,213],"AMIs":[56],"can":[57],"also":[58,79],"be":[59],"exploited":[60],"by":[61],"organized":[62],"adversaries":[63],"who":[64],"ability":[67,212],"to":[68,134,150,217],"orchestrate":[69],"simultaneous":[70],"falsification":[72,197],"attacks":[73],"after":[74],"compromising":[75],"several":[76],"meters,":[77],"more":[81],"complex":[82],"goals":[83],"than":[84],"just":[85],"theft.":[87],"In":[88],"this":[89],"paper,":[90],"we":[91,122],"first":[92],"propose":[93,123],"a":[94,117,124,152,193],"semi-supervised":[97,125],"anomaly":[98],"based":[99,127],"consensus":[100,118,126],"correction":[101,119],"technique":[102],"detects":[104],"presence":[106],"type":[108],"meter":[111,158],"falsification,":[113],"then":[115],"performs":[116],"accordingly.":[120],"Subsequently,":[121],"trust":[128],"scoring":[129],"model,":[130],"is":[132,149,162],"able":[133],"identify":[135,218],"injecting":[139],"data.":[141],"The":[142],"main":[143],"contribution":[144],"proposed":[147,215],"approach":[148],"provide":[151],"practical":[153],"framework":[154],"for":[155,175,192],"compromised":[156,219],"identification":[159,168],"(i)":[161],"(ii)":[165],"enables":[166],"quick":[167],"(iii)":[169],"scales":[170],"error":[172],"rates":[173],"better":[174],"larger":[176],"sized":[177],"AMIs;":[178],"(iv)":[179],"counters":[180],"threats":[181],"both":[183],"isolated":[184],"orchestrated":[186],"attacks;":[187],"(v)":[189],"simultaneously":[190],"works":[191],"variety":[194],"types.":[198],"Extensive":[199],"experimental":[200],"validation":[201],"two":[203],"datasets":[205],"USA":[207],"Ireland,":[209],"demonstrates":[210],"our":[214],"method":[216],"near":[222],"across":[225],"different":[226],"datasets.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}