A Schematic Technique Using Data type Preserving Encryption to Boost Data Warehouse Security
An ingenious data warehouse habitually contains information which must be painstaking enormously sensitive and proprietary. Protection of this information, as important as it is, is too often thorny by the presence of assorted computing environments, managerial issues, difficulties in controlling data distribution, and slipshod attitudes towards information security. We present a method of in progression fortification based on an encryption scheme which preserves the data type of the plaintext resource. We suppose that this method is particularly companionable for multifaceted data warehouse environments.
Keywords: Query, prevention, detection, encryption, decryption, datawarehouse, datamining
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