Communications of the ACM
Order preserving encryption for numeric data
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Answering aggregation queries in a secure system model
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Order-Preserving Symmetric Encryption
EUROCRYPT '09 Proceedings of the 28th Annual International Conference on Advances in Cryptology: the Theory and Applications of Cryptographic Techniques
Database Management as a Service: Challenges and Opportunities
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Public-key cryptosystems based on composite degree residuosity classes
EUROCRYPT'99 Proceedings of the 17th international conference on Theory and application of cryptographic techniques
Fully homomorphic encryption from ring-LWE and security for key dependent messages
CRYPTO'11 Proceedings of the 31st annual conference on Advances in cryptology
CryptDB: protecting confidentiality with encrypted query processing
SOSP '11 Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles
Can homomorphic encryption be practical?
Proceedings of the 3rd ACM workshop on Cloud computing security workshop
Programmable Order-Preserving Secure Index for Encrypted Database Query
CLOUD '12 Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing
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The cloud database services are attractive for managing outsourced databases. However, the data security and privacy is a big concern hampering the acceptance of cloud database services. A straightforward way to address this concern is to encrypt the database, but an encrypted database cannot be easily queried. In this demo paper, we demonstrate that aggregate SQL queries with range conditions can be performed efficiently over encrypted databases, without decrypting the databases first, by using our new homomorphic encryption scheme. The techniques in this paper can be applied to existing Database Management Systems (DBMSs). Moreover, the techniques do not need to predetermine the maximum sum and number of data in one database table column. These features make our technologies suitable to manage long-standing and large encrypted databases.