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Paper 19: Verifiable Learned PR-Tree Indexing for Privacy-Preserving Range Queries Over Encrypted Geospatial Data

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Published in:International Journal of Advanced Computer Science and Applications
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Advanced Computer Science and Applications
description
discipline_display Computer Science
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genre Journal Article
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institution FRELIP
journal_source_facet International Journal of Advanced Computer Science and Applications
last_indexed 2026-07-01T03:40:18.535Z
publishDate 2026
publishDateSort 2026
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spellingShingle Paper 19: Verifiable Learned PR-Tree Indexing for Privacy-Preserving Range Queries Over Encrypted Geospatial Data
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Paper 19: Verifiable Learned PR-Tree Indexing for Privacy-Preserving Range Queries Over Encrypted Geospatial Data
title_alt Artículo 19: Indexación Verificable de Árboles PR Aprendidos para Consultas de Rango que Preservan la Privacidad sobre Datos Geoespaciales Cifrados
Article 19 : Indexation PR-Tree apprise vérifiable pour les requêtes de plage préservant la confidentialité sur des données géospatiales chiffrées
Artigo 19: Indexação Verificável de Árvore PR Aprendida para Consultas de Intervalo com Preservação de Privacidade sobre Dados Geoespaciais Criptografados
title_auth Paper 19: Verifiable Learned PR-Tree Indexing for Privacy-Preserving Range Queries Over Encrypted Geospatial Data
title_es_txt Artículo 19: Indexación Verificable de Árboles PR Aprendidos para Consultas de Rango que Preservan la Privacidad sobre Datos Geoespaciales Cifrados
title_fr_txt Article 19 : Indexation PR-Tree apprise vérifiable pour les requêtes de plage préservant la confidentialité sur des données géospatiales chiffrées
title_full Paper 19: Verifiable Learned PR-Tree Indexing for Privacy-Preserving Range Queries Over Encrypted Geospatial Data
title_fullStr Paper 19: Verifiable Learned PR-Tree Indexing for Privacy-Preserving Range Queries Over Encrypted Geospatial Data
title_full_unstemmed Paper 19: Verifiable Learned PR-Tree Indexing for Privacy-Preserving Range Queries Over Encrypted Geospatial Data
title_pt_txt Artigo 19: Indexação Verificável de Árvore PR Aprendida para Consultas de Intervalo com Preservação de Privacidade sobre Dados Geoespaciais Criptografados
title_short Paper 19: Verifiable Learned PR-Tree Indexing for Privacy-Preserving Range Queries Over Encrypted Geospatial Data
title_sort paper 19: verifiable learned pr-tree indexing for privacy-preserving range queries over encrypted geospatial data
topic Computer Science
General
Computer Science
url http://thesai.org/Downloads/Volume17No6/Paper_19-Verifiable_Learned_PR_Tree_Indexing.pdf