{"id":"https://openalex.org/W3016255806","doi":"https://doi.org/10.1109/icassp40776.2020.9054755","title":"On Design of Optimal Smart Meter Privacy Control Strategy Against Adversarial Map Detection","display_name":"On Design of Optimal Smart Meter Privacy Control Strategy Against Adversarial Map Detection","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016255806","doi":"https://doi.org/10.1109/icassp40776.2020.9054755","mag":"3016255806"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-271975","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055983174","display_name":"Ramana R. Avula","orcid":"https://orcid.org/0000-0001-9672-2689"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Ramana R. Avula","raw_affiliation_strings":["Department of Intelligent Systems, KTH Royal Institute of Technology, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Systems, KTH Royal Institute of Technology, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079492269","display_name":"Tobias J. Oechtering","orcid":"https://orcid.org/0000-0002-0036-9049"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Tobias J. Oechtering","raw_affiliation_strings":["Department of Intelligent Systems, KTH Royal Institute of Technology, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Systems, KTH Royal Institute of Technology, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055983174"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":0.1471,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42075015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"5845","last_page":"5849"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9997000098228455,"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":0.9997000098228455,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9993000030517578,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.974399983882904,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6881735920906067},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.6567674875259399},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.6208090782165527},{"id":"https://openalex.org/keywords/adversary-model","display_name":"Adversary model","score":0.6126901507377625},{"id":"https://openalex.org/keywords/smart-meter","display_name":"Smart meter","score":0.5671793818473816},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.553477942943573},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.510536789894104},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4681800901889801},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4253651201725006},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4231167435646057},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.41794830560684204},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.40085679292678833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2113979160785675},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20264944434165955},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.1954544484615326},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.168570876121521},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15295931696891785},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12418821454048157}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6881735920906067},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.6567674875259399},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.6208090782165527},{"id":"https://openalex.org/C7606001","wikidata":"https://www.wikidata.org/wiki/Q4686702","display_name":"Adversary model","level":3,"score":0.6126901507377625},{"id":"https://openalex.org/C2779510800","wikidata":"https://www.wikidata.org/wiki/Q1630602","display_name":"Smart meter","level":3,"score":0.5671793818473816},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.553477942943573},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.510536789894104},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4681800901889801},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4253651201725006},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4231167435646057},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41794830560684204},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.40085679292678833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2113979160785675},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20264944434165955},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.1954544484615326},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.168570876121521},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15295931696891785},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12418821454048157},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:kth-271975","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-271975","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:kth-271975","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-271975","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W68569306","https://openalex.org/W1511213320","https://openalex.org/W1993673439","https://openalex.org/W1994042232","https://openalex.org/W2038178117","https://openalex.org/W2098251894","https://openalex.org/W2156740744","https://openalex.org/W2168662357","https://openalex.org/W2399834680","https://openalex.org/W2584583502","https://openalex.org/W2792059954","https://openalex.org/W2970521190","https://openalex.org/W3105646224","https://openalex.org/W4239466562"],"related_works":["https://openalex.org/W2555926712","https://openalex.org/W79315950","https://openalex.org/W2751326998","https://openalex.org/W2004597074","https://openalex.org/W4213214852","https://openalex.org/W1967494390","https://openalex.org/W4391495800","https://openalex.org/W2512014291","https://openalex.org/W2100100236","https://openalex.org/W2113351146"],"abstract_inverted_index":{"We":[0,82],"study":[1,68],"the":[2,7,28,32,51,73,80,85,88,96,100],"optimal":[3,101],"control":[4,34,45,102],"problem":[5,103],"of":[6,15,54,79],"maximum":[8],"a":[9,55,63,117],"posteriori":[10],"(MAP)":[11],"state":[12],"sequence":[13],"detection":[14,70],"an":[16,40,111],"adversary":[17,57,74,86],"using":[18,27,39],"smart":[19,130],"meter":[20],"data.":[21],"The":[22,44],"privacy":[23,128],"leakage":[24],"is":[25,35,47,75,104],"measured":[26],"Bayesian":[29],"risk":[30],"and":[31],"privacy-enhancing":[33],"achieved":[36],"in":[37,87,129],"real-time":[38],"energy":[41],"storage":[42],"system.":[43],"strategy":[46,119],"designed":[48],"to":[49,106,115,136],"minimize":[50],"expected":[52],"performance":[53],"non-causal":[56],"at":[58],"each":[59],"time":[60],"instant.":[61],"With":[62],"discrete-state":[64],"Markov":[65],"model,":[66],"we":[67,109],"two":[69],"problems:":[71],"when":[72],"unaware":[76],"or":[77],"aware":[78],"control.":[81],"show":[83],"that":[84],"former":[89],"case":[90],"can":[91,133],"be":[92,107,134],"controlled":[93],"optimally.":[94],"In":[95],"latter":[97],"case,":[98],"where":[99],"shown":[105],"non-convex,":[108],"propose":[110],"adaptive-grid":[112],"approximation":[113],"algorithm":[114],"obtain":[116],"sub-optimal":[118],"with":[120],"reduced":[121],"complexity.":[122],"Although":[123],"this":[124],"work":[125],"focuses":[126],"on":[127],"meters,":[131],"it":[132],"generalized":[135],"other":[137],"sensor":[138],"networks.":[139]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
