Publicación: PRESERVING LOCATION AND QUERY PRIVACY USING A BROADCASTING LBS
Fecha
2022
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DATA SCIENCE, HUMAN-CENTERED COMPUTING, AND INTELLIGENT TECHNOLOGIES
Resumen
UNTRUSTWORTHY LBS CAN COMPROMISE THEIR CLIENTS BY RELEASING THEIR LOCATION AND SENSITIVE QUERY ATTRIBUTES WITHOUT PERMISSION. THE TRADITIONAL APPROACH TO PROTECT USERS? PRIVACY IS BUILDING A SET OF DUMMY QUERIES THAT AIM TO PROTECT LOCATION USING K-ANONYMITY AND THE QUERY ATTRIBUTES, USING L-DIVERSITY. HERE, PRIVACY IS ACHIEVED AT THE EXPENSE OF THE LBS SERVER SINCE IT CAN QUICKLY BECOME A BOTTLENECK WHEN THE NUMBER OF LBS REQUESTS IS INCREASED. THIS WORK PROPOSES THAT THE LBS SERVER PERIODICALLY BROADCASTS SELECTED PUBLIC DATA INTO A PUBLIC AIR CHANNEL. MEANWHILE, USERS INTEND TO SOLVE THEIR QUERIES BY LISTENING TO THIS CHANNEL. IN THIS WAY, PRIVACY IS PRESERVED WITHOUT INCREASING THE SERVER WORKLOAD. HOWEVER, WHEN A USER DOES NOT FIND THE NEEDED DATA IN THE AIR, IT SUBMITS A LOCATION CLOAKED QUERY (LCQ) TO THE LBS SERVER. WE PROPOSE SOME APPROACHES ON HOW TO ADJUST A PERIODIC DATA BROADCASTING PROGRAM THAT BALANCES THE RESPONSE TIME INCURRED IN LOCATING DATA ON THE AIR CHANNEL AND THE LOSS OF PRIVACY WHEN USERS DIRECTLY CONTACT THE LBS. THUS, OUR IDEA IS THAT THE LBS SERVER TREATS THE WIRELESS CHANNEL AS A CACHE MEMORY AND KEEPS BROADCASTING THE MOST RELEVANT DATA PERIODICALLY.
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QUERY PRIVACY, LOCATIÓN PRIVACY, BROADCATING LBS
