{"id":"https://openalex.org/W4220992641","doi":"https://doi.org/10.3390/s22072424","title":"A Differential Privacy Strategy Based on Local Features of Non-Gaussian Noise in Federated Learning","display_name":"A Differential Privacy Strategy Based on Local Features of Non-Gaussian Noise in Federated Learning","publication_year":2022,"publication_date":"2022-03-21","ids":{"openalex":"https://openalex.org/W4220992641","doi":"https://doi.org/10.3390/s22072424","pmid":"https://pubmed.ncbi.nlm.nih.gov/35408039"},"language":"en","primary_location":{"id":"doi:10.3390/s22072424","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22072424","pdf_url":"https://www.mdpi.com/1424-8220/22/7/2424/pdf?version=1647912721","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/7/2424/pdf?version=1647912721","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100382963","display_name":"Xinyi Wang","orcid":"https://orcid.org/0000-0003-2658-8650"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Wang","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002578281","display_name":"Jincheng Wang","orcid":"https://orcid.org/0000-0001-9815-4726"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jincheng Wang","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023857321","display_name":"Xue Ma","orcid":"https://orcid.org/0000-0002-9623-1924"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Ma","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086718724","display_name":"Chenglin Wen","orcid":"https://orcid.org/0000-0003-2471-2849"},"institutions":[{"id":"https://openalex.org/I4210128140","display_name":"Guangdong University of Petrochemical Technology","ror":"https://ror.org/030ffke25","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128140"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenglin Wen","raw_affiliation_strings":["School of Automation, Guangdong University of Petrochemical Technology, Maoming 525000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Petrochemical Technology, Maoming 525000, China","institution_ids":["https://openalex.org/I4210128140"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086718724"],"corresponding_institution_ids":["https://openalex.org/I4210128140"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.5801,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70544875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"22","issue":"7","first_page":"2424","last_page":"2424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9922999739646912,"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/T10237","display_name":"Cryptography and Data Security","score":0.9904000163078308,"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/differential-privacy","display_name":"Differential privacy","score":0.8532032370567322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8015037775039673},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.7337755560874939},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6804335713386536},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5500751733779907},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.5351212024688721},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5236722826957703},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4888588786125183},{"id":"https://openalex.org/keywords/obfuscation","display_name":"Obfuscation","score":0.44001638889312744},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4342164397239685},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43140989542007446},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42888689041137695},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.42378517985343933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39136892557144165},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38947170972824097},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.31307798624038696},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15480762720108032},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.12537312507629395}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8532032370567322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8015037775039673},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.7337755560874939},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6804335713386536},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5500751733779907},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.5351212024688721},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5236722826957703},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4888588786125183},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.44001638889312744},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4342164397239685},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43140989542007446},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42888689041137695},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.42378517985343933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39136892557144165},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38947170972824097},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.31307798624038696},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15480762720108032},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12537312507629395},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018907","descriptor_name":"Privacy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018907","descriptor_name":"Privacy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018907","descriptor_name":"Privacy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018907","descriptor_name":"Privacy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22072424","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22072424","pdf_url":"https://www.mdpi.com/1424-8220/22/7/2424/pdf?version=1647912721","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35408039","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35408039","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:26847d62c203438a81433a99aa938695","is_oa":true,"landing_page_url":"https://doaj.org/article/26847d62c203438a81433a99aa938695","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 7, p 2424 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/7/2424/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22072424","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 7; Pages: 2424","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9003035","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9003035","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22072424","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22072424","pdf_url":"https://www.mdpi.com/1424-8220/22/7/2424/pdf?version=1647912721","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220992641.pdf","grobid_xml":"https://content.openalex.org/works/W4220992641.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W2148628165","https://openalex.org/W2473418344","https://openalex.org/W2615682953","https://openalex.org/W2781091734","https://openalex.org/W2962883549","https://openalex.org/W2964881778","https://openalex.org/W2970408908","https://openalex.org/W2997853417","https://openalex.org/W3011768388","https://openalex.org/W3016560828","https://openalex.org/W3021026170","https://openalex.org/W3088898206","https://openalex.org/W3102834148","https://openalex.org/W3112787034","https://openalex.org/W3135855722","https://openalex.org/W3172588403","https://openalex.org/W3179381670","https://openalex.org/W3194026771","https://openalex.org/W3194131586","https://openalex.org/W3196962087","https://openalex.org/W3211045837","https://openalex.org/W3214761953","https://openalex.org/W4200264590","https://openalex.org/W4200485581","https://openalex.org/W4205341374","https://openalex.org/W4207000191","https://openalex.org/W4210691109","https://openalex.org/W4388642327","https://openalex.org/W6678714609"],"related_works":["https://openalex.org/W4224216661","https://openalex.org/W3210347767","https://openalex.org/W98994209","https://openalex.org/W67940504","https://openalex.org/W2066014542","https://openalex.org/W2024170198","https://openalex.org/W2152144666","https://openalex.org/W1819617256","https://openalex.org/W4308699695","https://openalex.org/W4312041519"],"abstract_inverted_index":{"As":[0],"an":[1],"emerging":[2],"artificial":[3],"intelligence":[4],"technology,":[5],"federated":[6,61,96,105],"learning":[7,62,97,106],"plays":[8],"a":[9,53,69,91],"significant":[10],"role":[11],"in":[12,15,37,95,153],"privacy":[13,71],"preservation":[14],"machine":[16],"learning,":[17],"although":[18],"its":[19],"main":[20],"objective":[21],"is":[22,169],"to":[23,46,56,99,150,155,173],"prevent":[24],"peers":[25],"from":[26,31],"peeping":[27],"data.":[28],"However,":[29],"attackers":[30,149,160],"the":[32,48,57,60,87,101,104,110,117,123,126,165,174,185,191],"outside":[33],"can":[34,188],"steal":[35],"metadata":[36,89],"transit":[38],"and":[39,75],"through":[40,90],"data":[41],"reconstruction":[42],"or":[43],"other":[44],"techniques":[45],"obtain":[47,156],"original":[49],"data,":[50],"which":[51,85,168],"poses":[52],"great":[54],"threat":[55],"security":[58,131],"of":[59,82,103,113,164,177],"system.":[63],"In":[64],"this":[65],"paper,":[66],"we":[67],"propose":[68],"differential":[70],"strategy":[72],"including":[73],"encryption":[74],"decryption":[76],"methods":[77],"based":[78],"on":[79],"local":[80,111],"features":[81,112],"non-Gaussian":[83,114,118,137],"noise,":[84],"aggregates":[86],"noisy":[88],"sequential":[92],"Kalman":[93],"filter":[94],"scenarios":[98],"increase":[100],"reliability":[102],"method.":[107],"We":[108,179],"name":[109],"noise":[115,119,138,166],"as":[116],"fragments.":[120],"Compared":[121],"with":[122],"traditional":[124],"methods,":[125],"proposed":[127,186],"method":[128,187],"shows":[129],"stronger":[130],"performance":[132],"for":[133,148],"two":[134],"reasons.":[135],"Firstly,":[136],"fragments":[139],"contain":[140],"more":[141,146],"complex":[142],"statistics,":[143],"making":[144],"them":[145],"difficult":[147,171],"identify.":[151],"Secondly,":[152],"order":[154],"accurate":[157],"statistical":[158],"features,":[159],"must":[161],"aggregate":[162],"all":[163],"fragments,":[167],"very":[170],"due":[172],"increasing":[175],"number":[176],"clients.":[178],"conduct":[180],"experiments":[181],"that":[182,184],"demonstrate":[183],"greatly":[189],"enhanced":[190],"system's":[192],"security.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}