{"id":"https://openalex.org/W2997676382","doi":"https://doi.org/10.1109/dsc47296.2019.8937642","title":"Gaussian Process Learning for Distributed Sensor Networks under False Data Injection Attacks","display_name":"Gaussian Process Learning for Distributed Sensor Networks under False Data Injection Attacks","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2997676382","doi":"https://doi.org/10.1109/dsc47296.2019.8937642","mag":"2997676382"},"language":"en","primary_location":{"id":"doi:10.1109/dsc47296.2019.8937642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsc47296.2019.8937642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Dependable and Secure Computing (DSC)","raw_type":"proceedings-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/A5100726013","display_name":"Xiuming Liu","orcid":"https://orcid.org/0000-0001-6783-9351"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Xiuming Liu","raw_affiliation_strings":["Department of Information Technology, Uppsala University, Uppsala, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077317339","display_name":"Edith C.\u2010H. Ngai","orcid":"https://orcid.org/0000-0002-3454-8731"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Edith Ngai","raw_affiliation_strings":["Department of Information Technology, Uppsala University, Uppsala, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100726013"],"corresponding_institution_ids":["https://openalex.org/I123387679"],"apc_list":null,"apc_paid":null,"fwci":0.8401,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81079978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7398701310157776},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6972630023956299},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6666139960289001},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6337297558784485},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6078641414642334},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5916946530342102},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.5237277150154114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4396594762802124},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41752704977989197},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.365436315536499},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19168797135353088},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10622939467430115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7398701310157776},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6972630023956299},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6666139960289001},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6337297558784485},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6078641414642334},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5916946530342102},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.5237277150154114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4396594762802124},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41752704977989197},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.365436315536499},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19168797135353088},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10622939467430115},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsc47296.2019.8937642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsc47296.2019.8937642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Dependable and Secure Computing (DSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1502922572","https://openalex.org/W1911299338","https://openalex.org/W1970679066","https://openalex.org/W1988510559","https://openalex.org/W2032987408","https://openalex.org/W2058401212","https://openalex.org/W2098863504","https://openalex.org/W2098897917","https://openalex.org/W2107043025","https://openalex.org/W2108306501","https://openalex.org/W2109156380","https://openalex.org/W2122235704","https://openalex.org/W2124770452","https://openalex.org/W2131833908","https://openalex.org/W2143277772","https://openalex.org/W2167876003","https://openalex.org/W2319367234","https://openalex.org/W2332912277","https://openalex.org/W2505253431","https://openalex.org/W2546721060","https://openalex.org/W2752217602","https://openalex.org/W2891512841","https://openalex.org/W2896407000","https://openalex.org/W2910473178","https://openalex.org/W2949536823","https://openalex.org/W3099442372","https://openalex.org/W4244375620","https://openalex.org/W4247840447","https://openalex.org/W6629804754"],"related_works":["https://openalex.org/W4229078645","https://openalex.org/W1977345676","https://openalex.org/W4282032776","https://openalex.org/W2047552823","https://openalex.org/W4321606905","https://openalex.org/W3130445735","https://openalex.org/W2105110616","https://openalex.org/W2747930654","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"Distributed":[0],"sensor":[1,13,81,96],"networks":[2,97],"are":[3,15,134],"the":[4,21,26,39,45,48,68,88,112,116,120,126,129,137,140,146,156,160,164,180,195,199],"backbone":[5],"of":[6,29,53,65,90,115,125,128,148,152,163,166,182],"many":[7],"modern":[8],"intelligent":[9],"systems.":[10],"The":[11,103,168],"collected":[12],"data":[14,70,100,183],"fused":[16],"and":[17,50,79],"processed":[18],"to":[19,59,154,178,190],"learn":[20],"underlying":[22],"model":[23],"(such":[24],"as":[25,35,136],"Gaussian":[27,91,117],"process)":[28],"interested":[30],"physical":[31],"process,":[32],"which":[33,73],"serves":[34],"critical":[36,192],"knowledge":[37],"for":[38,94,111],"further":[40],"decision":[41],"making":[42],"process.":[43],"On":[44],"other":[46],"hand,":[47],"distributed":[49,95],"heterogeneous":[51],"nature":[52],"connected":[54],"devices":[55],"makes":[56],"them":[57],"vulnerable":[58],"cybersecurity":[60],"attacks.":[61,102],"One":[62],"common":[63],"type":[64],"attacks":[66],"is":[67,74,106],"false":[69,99],"injection":[71,101],"attack,":[72],"implemented":[75],"by":[76],"hijacking":[77],"nodes":[78,153,185],"modifying":[80],"measurements.":[82],"In":[83],"this":[84],"work,":[85],"we":[86,144],"study":[87],"problem":[89],"process":[92,118],"learning":[93],"under":[98],"proposed":[104],"algorithm":[105],"based":[107,158],"on":[108,159],"formulating":[109],"consensus":[110,141],"unknown":[113],"hyper-parameters":[114],"over":[119,198],"network,":[121],"where":[122],"statistical":[123],"measures":[124],"reliability":[127],"local":[130],"maximum":[131],"likelihood":[132],"estimates":[133],"used":[135],"weights":[138],"in":[139,194],"formulation.":[142],"Furthermore,":[143],"investigate":[145],"impact":[147],"choosing":[149],"different":[150],"subset":[151,165],"deploy":[155],"FDIA,":[157],"topological":[161],"properties":[162],"nodes.":[167],"simulation":[169],"result":[170],"shows":[171],"that":[172],"extra":[173],"effort":[174],"must":[175],"be":[176],"invested":[177],"protect":[179],"integrity":[181],"from":[184],"with":[186],"high":[187],"centrality,":[188],"due":[189],"their":[191],"positions":[193],"information":[196],"flow":[197],"network.":[200]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
