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Database users have started moving toward the use of cloud computing as aservice because it provides computation and storage needs at affordable prices.However, for most of the users, the concern of privacy plays a major role asthey cannot control data access once their data are outsourced, especially ifthe cloud provider is curious about their data. Data encryption is an effectiveway to solve privacy concerns, but executing queries over encrypted data is aproblem that needs attention. In this research, we introduce a bit-based modelto execute different relational algebra operators over encrypted databases atthe cloud without decrypting the data. To encrypt data, we use the randomizedencryption algorithm (Advanced Encryption Standard-CBC) to provide themaximum-security level. The idea is based on classifying attributes assensitive and non-sensitive, where only sensitive attributes are encrypted. Foreach sensitive attribute, the table owner predefined the possible partitiondomains on which the tuples will be encoded into bit vectors before theencryption. We store the bit vectors in an additional column(s) in theencrypted table in the cloud. We use those bits to retrieve only part ofencrypted records that are candidates for a specific query. We implemented andevaluated our model and found that the proposed model is practical and successto minimize the range of the retrieved encrypted records to less than 30percent of the whole set of encrypted records in a table.

Designing a Bit-Based Model to Accelerate Query Processing Over Encrypted Databases in Cloud