{"id":"https://openalex.org/W4380682472","doi":"https://doi.org/10.1080/08839514.2023.2222495","title":"Zero-Knowledge Proof Intelligent Recommendation System to Protect Students\u2019 Data Privacy in the Digital Age","display_name":"Zero-Knowledge Proof Intelligent Recommendation System to Protect Students\u2019 Data Privacy in the Digital Age","publication_year":2023,"publication_date":"2023-06-13","ids":{"openalex":"https://openalex.org/W4380682472","doi":"https://doi.org/10.1080/08839514.2023.2222495"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2023.2222495","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2222495","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2222495?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2222495?download=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066990907","display_name":"Wenjing Yin","orcid":"https://orcid.org/0000-0002-4863-1421"},"institutions":[{"id":"https://openalex.org/I4387154844","display_name":"Zhengzhou Preschool Education College","ror":"https://ror.org/02k5t7d62","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154844"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenjing Yin","raw_affiliation_strings":["Zhengzhou Preschool Education College, Preschool Education Institute, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou Preschool Education College, Preschool Education Institute, Zhengzhou, China","institution_ids":["https://openalex.org/I4387154844"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5066990907"],"corresponding_institution_ids":["https://openalex.org/I4387154844"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":2.2208,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89564873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"37","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9986000061035156,"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":0.9986000061035156,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","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/T12034","display_name":"Digital and Cyber Forensics","score":0.9830999970436096,"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/computer-science","display_name":"Computer science","score":0.7993850708007812},{"id":"https://openalex.org/keywords/personally-identifiable-information","display_name":"Personally identifiable information","score":0.5280854105949402},{"id":"https://openalex.org/keywords/safeguarding","display_name":"Safeguarding","score":0.4652799963951111},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.42123234272003174},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.39257174730300903},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.38196560740470886},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3331969976425171},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2797500789165497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7993850708007812},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.5280854105949402},{"id":"https://openalex.org/C2776743756","wikidata":"https://www.wikidata.org/wiki/Q5097921","display_name":"Safeguarding","level":2,"score":0.4652799963951111},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.42123234272003174},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.39257174730300903},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.38196560740470886},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3331969976425171},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2797500789165497},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2023.2222495","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2222495","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2222495?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:24e4d97619a642bc89e4786da7e09eb5","is_oa":true,"landing_page_url":"https://doaj.org/article/24e4d97619a642bc89e4786da7e09eb5","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":"Applied Artificial Intelligence, Vol 37, Iss 1 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2023.2222495","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2222495","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2222495?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380682472.pdf","grobid_xml":"https://content.openalex.org/works/W4380682472.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1503398984","https://openalex.org/W1546797239","https://openalex.org/W1751394037","https://openalex.org/W1909134425","https://openalex.org/W1926781975","https://openalex.org/W1965014906","https://openalex.org/W1975423983","https://openalex.org/W2096844698","https://openalex.org/W2097931418","https://openalex.org/W2122266260","https://openalex.org/W2125877913","https://openalex.org/W2134016227","https://openalex.org/W2141170393","https://openalex.org/W2145566839","https://openalex.org/W2170868180","https://openalex.org/W2171902951","https://openalex.org/W2210768719","https://openalex.org/W2244761325","https://openalex.org/W2478433202","https://openalex.org/W2536727449","https://openalex.org/W2539948575","https://openalex.org/W2558895076","https://openalex.org/W2560838595","https://openalex.org/W2600989482","https://openalex.org/W2732719441","https://openalex.org/W2735824323","https://openalex.org/W2792883393","https://openalex.org/W2793685587","https://openalex.org/W2799657611","https://openalex.org/W2949639841","https://openalex.org/W2964659193","https://openalex.org/W2992989584","https://openalex.org/W3003613721","https://openalex.org/W3010501990","https://openalex.org/W3016127024","https://openalex.org/W3027510235","https://openalex.org/W3034291999","https://openalex.org/W3079271495","https://openalex.org/W3081780520","https://openalex.org/W3085129383","https://openalex.org/W3089471898","https://openalex.org/W3124548716","https://openalex.org/W3130666089","https://openalex.org/W3132582606","https://openalex.org/W3132875904","https://openalex.org/W3132911739","https://openalex.org/W3137461547","https://openalex.org/W3161130602","https://openalex.org/W3194918904","https://openalex.org/W3200350636","https://openalex.org/W4200415323","https://openalex.org/W4213455517","https://openalex.org/W4220679759","https://openalex.org/W4223469653","https://openalex.org/W4225164691","https://openalex.org/W4226178922","https://openalex.org/W4232401794","https://openalex.org/W4244105789","https://openalex.org/W4281619067","https://openalex.org/W4283712608","https://openalex.org/W4285795476"],"related_works":["https://openalex.org/W175946208","https://openalex.org/W147720509","https://openalex.org/W4245318332","https://openalex.org/W1536759569","https://openalex.org/W2213445138","https://openalex.org/W2886266782","https://openalex.org/W2500739510","https://openalex.org/W4386447091","https://openalex.org/W2940702331","https://openalex.org/W2338538212"],"abstract_inverted_index":{"The":[0,197],"rapid":[1],"digital":[2,195],"revolution":[3],"in":[4,9,16,153,193],"recent":[5],"decades":[6],"has":[7],"resulted":[8],"an":[10,74,201,208,218],"overwhelming":[11],"amount":[12,49],"of":[13,19,37,50,64,86,122,211,237],"information,":[14],"particularly":[15],"the":[17,35,62,91,194,212,223,230,235],"realm":[18],"modern":[20],"education":[21],"systems":[22,39,60],"and":[23,45,104,164],"related":[24],"materials.":[25],"This":[26],"phenomenon,":[27],"often":[28],"referred":[29],"to":[30,69,111,159,169,188],"as":[31,90,99,101,129,217],"information":[32,59,70,138],"overload,":[33],"necessitates":[34],"development":[36],"educational":[38,58,244],"that":[40,71,206],"can":[41,72,156],"effectively":[42],"search,":[43],"classify,":[44],"categorize":[46],"this":[47,113,154,177],"vast":[48],"available":[51],"information.":[52],"Of":[53],"utmost":[54],"importance":[55],"for":[56,81],"such":[57,89,128],"is":[61],"safeguarding":[63],"personal":[65,87,238],"data,":[66],"which":[67,144],"refers":[68],"identify":[73],"individual":[75],"or":[76,141,148],"their":[77,102,171],"family.":[78],"School":[79],"records,":[80],"example,":[82],"contain":[83],"various":[84],"types":[85],"data":[88,114,123,152,191,239],"individual\u2019s":[92],"name,":[93],"address,":[94],"contact":[95],"details,":[96],"disciplinary":[97],"history,":[98],"well":[100],"grades":[103],"progress":[105],"checks.":[106],"Even":[107],"if":[108],"individuals":[109],"choose":[110],"make":[112],"public,":[115],"it":[116],"remains":[117],"inherently":[118],"personal.":[119],"Another":[120],"category":[121,155],"involves":[124],"more":[125],"sensitive":[126],"topics":[127],"student":[130],"biometrics":[131],"(e.g.":[132,139],"fingerprints,":[133],"photographs),":[134],"religious":[135,147],"beliefs,":[136],"health":[137],"allergies),":[140],"dietary":[142],"restrictions,":[143],"may":[145],"imply":[146],"health-related":[149],"aspects.":[150],"Processing":[151],"pose":[157],"risks":[158],"individuals;":[160],"hence,":[161],"strict":[162],"rules":[163],"appropriate":[165],"consent":[166],"are":[167],"necessary":[168],"ensure":[170],"protection.":[172],"To":[173],"address":[174],"these":[175],"challenges,":[176],"research":[178],"paper":[179],"proposes":[180],"a":[181],"zero-knowledge":[182],"proof":[183],"intelligent":[184],"recommendation":[185],"system":[186],"designed":[187],"protect":[189],"students\u2019":[190],"privacy":[192,236],"age.":[196],"proposed":[198],"method":[199],"incorporates":[200],"Intelligent":[202],"Recommendation":[203],"System":[204],"(IRS)":[205],"utilizes":[207],"optimized":[209],"version":[210],"Matrix":[213],"Factorization":[214],"technique,":[215],"calculated":[216],"Eulerian":[219],"Walk":[220],"chart.":[221],"Furthermore,":[222],"Schnorr":[224],"Zero-Knowledge":[225],"Proof":[226],"format,":[227],"based":[228],"on":[229],"discrete":[231],"logarithm":[232],"problem,":[233],"ensures":[234],"during":[240],"message":[241],"exchange":[242],"between":[243],"entities.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-13T14:20:09.374765","created_date":"2025-10-10T00:00:00"}
