Publicación:
PROTECTING QUERY PRIVACY THROUGH SEMANTIC CACHING IN LOCATION-BASED SERVICES

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dc.creatorFERNANDO ANDRÉS VERA CATRICURA
dc.creatorPATRICIO ALEJANDRO GALDAMES SEPÚLVEDA
dc.creatorCLAUDIO ORLANDO GUTIÉRREZ SOTO
dc.date2020
dc.date.accessioned2025-01-10T15:18:56Z
dc.date.available2025-01-10T15:18:56Z
dc.date.issued2020
dc.description.abstractWE PLAN TO ADDRESS THE PROBLEM OF PROCESSING LOCATION-BASED QUERIES (LBQ) IN A MANET FOR PRESERVING QUERY PRIVACY AS MUCH AS POSSIBLE. OUR IDEA IS THAT MOBILE USERS WILL FIRST ASK THEMSELVES FOR SOLVING A QUERY BEFORE ANY USER DECIDES TO SUBMIT ITS QUERY TO AN UNTRUSTED LBS. OUR FIRST GOAL IS TO DEFINE A COLLABORATIVE CACHING STRATEGY TO BE RUN BY THE MOBILE USERS THEMSELVES THAT EXPLOIT THE GEOGRAPHIC AND SEMANTIC SIMILARITIES AMONG THE LBQS TO PERFORM EFFICIENT PROCESSING OF LCQS. OUR SECOND GOAL TO PROTECT A USER?S QUERY PRIVACY WHEN ANY USER SUBMITS AN LBQ TO THE LBS; WE ARE PLANNING TO DEVELOP A DISTRIBUTED ALGORITHM TO PROVIDE L-DIVERSITY ONLY WHEN THIS PROTECTION IS USEFUL. EXISTING CACHING TECHNIQUES FOR MANET DO NOT EXPLOIT SEMANTIC AND GEOGRAPHIC SIMILARITIES AMONG THE LBQS, AND THEY ASSUME MOBILE USERS HAVE ACCESS TO SOME STORAGE INFRASTRUCTURE TO MAINTAIN GLOBAL INFORMATION TO COMPUTE L-DIVERSITY.
dc.formatapplication/pdf
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/11430
dc.languagespa
dc.publisherCOLLABORATIVE TECHNOLOGIES AND DATA SCIENCE IN ARTIFICIAL INTELLIGENCE APPLICATIONS
dc.rightsPUBLICADA
dc.titlePROTECTING QUERY PRIVACY THROUGH SEMANTIC CACHING IN LOCATION-BASED SERVICES
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE SISTEMAS DE INFORMACION
ubb.Otra ReparticionDEPARTAMENTO DE SISTEMAS DE INFORMACION
ubb.Otra ReparticionDEPARTAMENTO DE SISTEMAS DE INFORMACION
ubb.SedeCONCEPCIÓN
ubb.SedeCONCEPCIÓN
ubb.SedeCONCEPCIÓN
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