{"id":"https://openalex.org/W2980271516","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8858823","title":"Improving Data Privacy Using Fuzzy Logic and Autoencoder Neural Network","display_name":"Improving Data Privacy Using Fuzzy Logic and Autoencoder Neural Network","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2980271516","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8858823","mag":"2980271516"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2019.8858823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8858823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5060632153","display_name":"Sayantica Pattanayak","orcid":null},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sayantica Pattanayak","raw_affiliation_strings":["Department of Computer Science, North Dakota State University, Fargo, ND, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Dakota State University, Fargo, ND, USA","institution_ids":["https://openalex.org/I57328836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015130765","display_name":"Simone A. Ludwig","orcid":"https://orcid.org/0000-0002-8419-0192"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simone A. Ludwig","raw_affiliation_strings":["Department of Computer Science, North Dakota State University, Fargo, ND, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Dakota State University, Fargo, ND, USA","institution_ids":["https://openalex.org/I57328836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060632153"],"corresponding_institution_ids":["https://openalex.org/I57328836"],"apc_list":null,"apc_paid":null,"fwci":0.8401,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80689412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","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":0.9998000264167786,"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":0.9998000264167786,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11800","display_name":"User Authentication and Security Systems","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/autoencoder","display_name":"Autoencoder","score":0.7845197916030884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7055843472480774},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5976381301879883},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5962992906570435},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5723117589950562},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.5404636859893799},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.5392343997955322},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5231579542160034},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.47417986392974854},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.4517889618873596},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.41196563839912415},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34492361545562744},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.33650436997413635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3101266920566559}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7845197916030884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7055843472480774},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5976381301879883},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5962992906570435},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5723117589950562},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.5404636859893799},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.5392343997955322},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5231579542160034},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.47417986392974854},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4517889618873596},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.41196563839912415},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34492361545562744},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.33650436997413635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3101266920566559},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2019.8858823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8858823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":19,"referenced_works":["https://openalex.org/W1969019410","https://openalex.org/W1982183556","https://openalex.org/W2029712629","https://openalex.org/W2041025307","https://openalex.org/W2100495367","https://openalex.org/W2101619412","https://openalex.org/W2115086801","https://openalex.org/W2117300520","https://openalex.org/W2129751437","https://openalex.org/W2586648216","https://openalex.org/W2626533970","https://openalex.org/W2790456857","https://openalex.org/W2912565176","https://openalex.org/W3141796657","https://openalex.org/W4211007335","https://openalex.org/W4234123233","https://openalex.org/W4394137069","https://openalex.org/W6677514193","https://openalex.org/W6748781761"],"related_works":["https://openalex.org/W2153206512","https://openalex.org/W2554968678","https://openalex.org/W2108836015","https://openalex.org/W2769823465","https://openalex.org/W3085396135","https://openalex.org/W2314863217","https://openalex.org/W3171705154","https://openalex.org/W1992178710","https://openalex.org/W2963718787","https://openalex.org/W2967012477","https://openalex.org/W2182078957","https://openalex.org/W2930676289","https://openalex.org/W2141625084","https://openalex.org/W1532819877","https://openalex.org/W2187586110","https://openalex.org/W2284593976","https://openalex.org/W2139284526","https://openalex.org/W2182789912","https://openalex.org/W2331674954","https://openalex.org/W3097426954"],"abstract_inverted_index":{"Data":[0],"privacy":[1,83,98],"is":[2,44],"a":[3,82,106],"very":[4,18],"important":[5],"problem":[6],"to":[7,52,95,122,144],"address":[8],"while":[9],"sharing":[10],"data":[11,32,43,61,79,121,129,151],"among":[12],"multiple":[13,25],"organizations":[14,26,48,124,161],"and":[15,70],"has":[16,89,93],"become":[17],"crucial":[19],"in":[20,35],"the":[21,36,54,60,75,86,114,120,146,153],"health":[22,55],"sectors":[23],"since":[24],"such":[27,66],"as":[28,67],"hospitals":[29],"are":[30],"storing":[31],"of":[33,38,57,72,74,85,152],"patients":[34],"form":[37],"Electronic":[39],"Health":[40],"Records.":[41],"Stored":[42],"used":[45,158],"with":[46],"other":[47],"or":[49],"research":[50,91,163],"analysts":[51],"improve":[53],"care":[56],"patients.":[58,76],"However,":[59],"records":[62],"contain":[63],"sensitive":[64,78,115,128],"information":[65,116],"age,":[68],"sex,":[69],"date":[71],"birth":[73],"Revealing":[77],"can":[80,155],"cause":[81],"breach":[84],"individuals.":[87],"This":[88],"triggered":[90],"that":[92,108],"led":[94],"many":[96],"different":[97,123,132,160],"preserving":[99],"techniques":[100],"being":[101],"introduced.":[102],"Thus,":[103],"we":[104,130],"designed":[105],"technique":[107],"not":[109],"only":[110],"encrypts":[111],"/":[112],"hides":[113],"but":[117],"also":[118],"sends":[119],"securely.":[125],"To":[126],"encrypt":[127],"use":[131,139],"fuzzy":[133],"logic":[134],"membership":[135],"functions.":[136],"We":[137],"then":[138,156],"an":[140],"autoencoder":[141,154],"neural":[142],"network":[143],"send":[145],"modified":[147],"data.":[148],"The":[149],"output":[150],"be":[157],"by":[159],"for":[162],"analysis.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}