An Indexing Method to Prevent Attacks based on Frequency in Database as a Service
Kangsoo Jung, Seog Park · 2010
DaaS model that surrogates their data has a problem of privacy leakage by service provider. In this paper, we analyze inference attack that can occur on encrypted data that consist of multiple column through index, and we suggest b-anonymity to protect data against inference attack. We use R+-tree technique to minimize false-positive that can happen when we use an index for efficiency of data processing.