{"id":"https://openalex.org/W3122578843","doi":"https://doi.org/10.1145/3426739","title":"Attack Context Embedded Data Driven Trust Diagnostics in Smart Metering Infrastructure","display_name":"Attack Context Embedded Data Driven Trust Diagnostics in Smart Metering Infrastructure","publication_year":2021,"publication_date":"2021-01-21","ids":{"openalex":"https://openalex.org/W3122578843","doi":"https://doi.org/10.1145/3426739","mag":"3122578843"},"language":"en","primary_location":{"id":"doi:10.1145/3426739","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426739","pdf_url":null,"source":{"id":"https://openalex.org/S4210174050","display_name":"ACM Transactions on Privacy and Security","issn_l":"2471-2566","issn":["2471-2566","2471-2574"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Privacy and Security","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/A5077299535","display_name":"Shameek Bhattacharjee","orcid":"https://orcid.org/0000-0003-3596-9447"},"institutions":[{"id":"https://openalex.org/I141649380","display_name":"Western Michigan University","ror":"https://ror.org/04j198w64","country_code":"US","type":"education","lineage":["https://openalex.org/I141649380"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shameek Bhattacharjee","raw_affiliation_strings":["Western Michigan University, Kalamazoo, MI, USA"],"raw_orcid":"https://orcid.org/0000-0003-3596-9447","affiliations":[{"raw_affiliation_string":"Western Michigan University, Kalamazoo, MI, USA","institution_ids":["https://openalex.org/I141649380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056727338","display_name":"Venkata Praveen Kumar Madhavarapu","orcid":null},"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":"Venkata Praveen Kumar Madhavarapu","raw_affiliation_strings":["Missouri University of Science 8 Technology, Rolla, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Missouri University of Science 8 Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009742150","display_name":"Simone Silvestri","orcid":"https://orcid.org/0000-0003-2357-3429"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simone Silvestri","raw_affiliation_strings":["University of Kentucky, Lexington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kentucky, Lexington","institution_ids":["https://openalex.org/I143302722"]}]},{"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"],"raw_orcid":null,"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":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0829,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86519498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":"2","first_page":"1","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9998000264167786,"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/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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/context","display_name":"Context (archaeology)","score":0.6610614061355591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6412060260772705},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5983051061630249},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.5834546089172363},{"id":"https://openalex.org/keywords/metering-mode","display_name":"Metering mode","score":0.5300633311271667},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.487399160861969},{"id":"https://openalex.org/keywords/smart-meter","display_name":"Smart meter","score":0.46853533387184143},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4391421973705292},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4317645728588104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32927608489990234},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15942764282226562},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12100222706794739}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6610614061355591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6412060260772705},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5983051061630249},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.5834546089172363},{"id":"https://openalex.org/C30905978","wikidata":"https://www.wikidata.org/wiki/Q815598","display_name":"Metering mode","level":2,"score":0.5300633311271667},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.487399160861969},{"id":"https://openalex.org/C2779510800","wikidata":"https://www.wikidata.org/wiki/Q1630602","display_name":"Smart meter","level":3,"score":0.46853533387184143},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4391421973705292},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4317645728588104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32927608489990234},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15942764282226562},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12100222706794739},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3426739","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426739","pdf_url":null,"source":{"id":"https://openalex.org/S4210174050","display_name":"ACM Transactions on Privacy and Security","issn_l":"2471-2566","issn":["2471-2566","2471-2574"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Privacy and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6700000166893005,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G3453184917","display_name":null,"funder_award_id":"SATC-2030611, SATC 2030624, OAC-2017289, CNS-1818942, CNS-1545037, CNS-1545050, CPS 1943035","funder_id":"https://openalex.org/F4320322898","funder_display_name":"Shota Rustaveli National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320322898","display_name":"Shota Rustaveli National Science Foundation","ror":"https://ror.org/00xc87681"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W129305155","https://openalex.org/W1984419556","https://openalex.org/W2034989888","https://openalex.org/W2040369587","https://openalex.org/W2044857874","https://openalex.org/W2044953202","https://openalex.org/W2052303336","https://openalex.org/W2096371059","https://openalex.org/W2102828313","https://openalex.org/W2105582581","https://openalex.org/W2106267320","https://openalex.org/W2122646361","https://openalex.org/W2212529815","https://openalex.org/W2315949014","https://openalex.org/W2529740945","https://openalex.org/W3015784589","https://openalex.org/W3096182988","https://openalex.org/W3130026388","https://openalex.org/W3149599232","https://openalex.org/W4206000960"],"related_works":["https://openalex.org/W4312869071","https://openalex.org/W2028978355","https://openalex.org/W25930971","https://openalex.org/W1990698919","https://openalex.org/W2439518333","https://openalex.org/W3018909029","https://openalex.org/W3205631650","https://openalex.org/W2077996342","https://openalex.org/W2561882072","https://openalex.org/W2246071452"],"abstract_inverted_index":{"Spurious":[0],"power":[1],"consumption":[2],"data":[3,31,48],"reported":[4],"from":[5,213,257],"compromised":[6,56,210,234,241],"meters":[7,54,212],"controlled":[8],"by":[9,57],"organized":[10,58],"adversaries":[11],"in":[12,33,88],"the":[13,89,93,118,129,161,181,185,190,214,220,224,276,308,315],"Advanced":[14],"Metering":[15],"Infrastructure":[16],"(AMI)":[17],"may":[18],"have":[19],"drastic":[20],"consequences":[21],"on":[22,30,175],"a":[23,44,69,72,138,143,148,170,269],"smart":[24,34,53,203,211],"grid\u2019s":[25],"operations.":[26],"While":[27],"existing":[28],"research":[29],"falsification":[32,49],"grids":[35],"mostly":[36],"defends":[37],"against":[38],"isolated":[39],"electricity":[40],"theft,":[41],"we":[42,66,122,168,301],"introduce":[43],"taxonomy":[45],"of":[46,92,104,165,219,233,240,250,307,317],"various":[47,245],"attack":[50,108,114,119,125,131,155,191,221,246,291],"types,":[51],"when":[52],"are":[55,284],"or":[59],"strategic":[60],"rivals.":[61],"To":[62],"counter":[63],"these":[64],"attacks,":[65],"first":[67],"propose":[68,123,169],"coarse-grained":[70],"and":[71,85,106,152,189,230,248,280],"fine-grained":[73],"anomaly-based":[74],"security":[75],"event":[76],"detection":[77,96,273,282],"technique":[78],"that":[79,179,264],"uses":[80],"indicators":[81],"such":[82],"as":[83,113],"deviation":[84,146],"directional":[86],"change":[87],"time":[90,157,163],"series":[91],"proposed":[94,266,309],"anomaly":[95],"metrics":[97,127],"to":[98,128,197,320],"indicate:":[99],"(i)":[100],"occurrence,":[101],"(ii)":[102],"type":[103],"attack,":[105],"(iii)":[107],"strategy":[109],"used,":[110],"collectively":[111],"known":[112],"context":[115,120],".":[116],"Leveraging":[117],"information,":[121],"three":[124],"response":[126],"inferred":[130],"context:":[132],"(a)":[133],"an":[134,154],"unbiased":[135,183],"mean":[136],"indicating":[137,147,160],"robust":[139,149],"location":[140],"parameter;":[141,151],"(b)":[142],"median":[144,186],"absolute":[145,187],"scale":[150],"(c)":[153],"probability":[156,192],"ratio":[158,193],"metric":[159,194],"active":[162],"horizon":[164],"attacks.":[166],"Subsequently,":[167],"trust":[171,199,206,225],"scoring":[172,226],"model":[173],"based":[174],"Kullback-Leibler":[176],"(KL)":[177],"divergence,":[178],"embeds":[180],"appropriate":[182],"mean,":[184],"deviation,":[188],"at":[195],"runtime":[196],"produce":[198],"scores":[200,207],"for":[201,289,293],"each":[202],"meter.":[204],"These":[205],"help":[208,313],"classify":[209],"non-compromised":[215],"ones.":[216],"The":[217],"embedding":[218],"context,":[222],"into":[223],"model,":[227],"facilitates":[228],"accurate":[229],"rapid":[231],"classification":[232],"meters,":[235,242],"even":[236],"under":[237],"large":[238],"fractions":[239],"generalize":[243],"across":[244],"strategies":[247],"margins":[249],"false":[251,278],"data.":[252],"Using":[253],"real":[254,296],"datasets":[255],"collected":[256],"two":[258,294],"different":[259,295],"AMIs,":[260],"experimental":[261],"results":[262],"show":[263],"our":[265,318],"framework":[267],"has":[268],"high":[270],"true":[271],"positive":[272],"rate,":[274],"while":[275],"average":[277],"alarm":[279],"missed":[281],"rates":[283],"much":[285],"lesser":[286],"than":[287],"10%":[288],"most":[290],"combinations":[292],"AMI":[297],"micro-grid":[298],"datasets.":[299],"Finally,":[300],"also":[302],"establish":[303],"fundamental":[304],"theoretical":[305],"limits":[306],"method,":[310],"which":[311],"will":[312],"assess":[314],"applicability":[316],"method":[319],"other":[321],"domains.":[322]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
