{"id":"https://openalex.org/W7141655286","doi":"https://doi.org/10.1109/icce67443.2026.11449895","title":"Beyond Additive Noise: Derivative-Driven Differential Privacy for IoT Analytics","display_name":"Beyond Additive Noise: Derivative-Driven Differential Privacy for IoT Analytics","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7141655286","doi":"https://doi.org/10.1109/icce67443.2026.11449895"},"language":null,"primary_location":{"id":"doi:10.1109/icce67443.2026.11449895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","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/A5103270186","display_name":"Mohamed Mejri","orcid":"https://orcid.org/0000-0002-0455-7880"},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mohamed Mejri","raw_affiliation_strings":["Laval University,Department of Computer Science &#x0026; Software Engineering,Canada"],"affiliations":[{"raw_affiliation_string":"Laval University,Department of Computer Science &#x0026; Software Engineering,Canada","institution_ids":["https://openalex.org/I43406934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075780609","display_name":"Mahboobeh Dorafshanian","orcid":"https://orcid.org/0000-0003-1064-5024"},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mahboobeh Dorafshanian","raw_affiliation_strings":["Laval University,Department of Computer Science &#x0026; Software Engineering,Canada"],"affiliations":[{"raw_affiliation_string":"Laval University,Department of Computer Science &#x0026; Software Engineering,Canada","institution_ids":["https://openalex.org/I43406934"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090198147","display_name":"Djedjiga Mouheb","orcid":"https://orcid.org/0000-0003-0531-2196"},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Djedjiga Mouheb","raw_affiliation_strings":["Laval University,Department of Computer Science &#x0026; Software Engineering,Canada"],"affiliations":[{"raw_affiliation_string":"Laval University,Department of Computer Science &#x0026; Software Engineering,Canada","institution_ids":["https://openalex.org/I43406934"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103270186"],"corresponding_institution_ids":["https://openalex.org/I43406934"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93282841,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.833899974822998,"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":0.833899974822998,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.02319999970495701,"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/T10237","display_name":"Cryptography and Data Security","score":0.019200000911951065,"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":0.5095999836921692},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4862000048160553},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4693000018596649},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.3440999984741211},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.3280999958515167},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.27900001406669617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6021000146865845},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5095999836921692},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4862000048160553},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4693000018596649},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.40950000286102295},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce67443.2026.11449895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1658920975","https://openalex.org/W1873763122","https://openalex.org/W1992926795","https://openalex.org/W1993924693","https://openalex.org/W2096870293","https://openalex.org/W2138865266","https://openalex.org/W2473418344","https://openalex.org/W2515654213","https://openalex.org/W2594311007","https://openalex.org/W2913738890","https://openalex.org/W2963699739","https://openalex.org/W4205228770","https://openalex.org/W4248861293","https://openalex.org/W4315488958","https://openalex.org/W4323240645","https://openalex.org/W4381855603"],"related_works":[],"abstract_inverted_index":{"The":[0,79],"widespread":[1],"integration":[2],"of":[3,9],"artificial":[4],"intelligence":[5],"(AI)":[6],"and":[7,31,44,49],"Internet":[8],"Things":[10],"(IoT)":[11],"devices":[12],"in":[13,41,47,118],"consumer":[14],"environments":[15],"amplifies":[16],"the":[17],"demand":[18],"for":[19,114],"privacy-preserving":[20],"data":[21],"analytics.":[22],"Traditional":[23],"additive":[24],"differential":[25],"privacy":[26,109],"mechanisms,":[27,105],"such":[28],"as":[29],"Laplace":[30,104],"Gaussian,":[32],"often":[33],"inject":[34],"excessive":[35],"noise":[36],"under":[37,107],"low-\u03b5":[38],"budgets,":[39,110],"resulting":[40],"degraded":[42],"accuracy":[43],"limited":[45],"applicability":[46],"edge":[48],"AI-driven":[50],"systems.":[51,120],"We":[52],"propose":[53],"\u03b5\u2013":[54],"MDM-Privacy,":[55],"a":[56,61],"derivative-driven":[57],"framework":[58],"that":[59,67,97],"enforces":[60],"gradient":[62],"bound":[63],"|\u2207f(x)|":[64],"\u2264":[65],"\u03b5|f(x)|":[66],"induces":[68],"an":[69],"exponential-form":[70],"transformation":[71],"$M(x)":[72],"=":[73],"C{e^{\\varepsilon":[74],"{L_p}(x)}}$":[75],"over":[76],"Minkowski":[77],"norms.":[78],"scaling":[80],"constant":[81],"C":[82],"is":[83],"calibrated":[84],"to":[85],"satisfy":[86],"(\u03b4,\u03b3)-utility,":[87],"ensuring":[88],"tunable":[89],"privacy\u2013utility":[90],"trade-offs.":[91],"Evaluations":[92],"on":[93],"real-world":[94],"datasets":[95],"demonstrate":[96],"\u03b5\u2013MDM-Privacy":[98],"achieves":[99],"significantly":[100],"lower":[101],"error":[102],"than":[103],"particularly":[106],"strict":[108],"highlighting":[111],"its":[112],"potential":[113],"secure,":[115],"utility-preserving":[116],"analytics":[117],"consumer-electronics":[119]},"counts_by_year":[],"updated_date":"2026-03-29T06:01:01.467347","created_date":"2026-03-28T00:00:00"}
