Executing SQL over encrypted data in the database-service-provider model
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
An optimal and progressive algorithm for skyline queries
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Order preserving encryption for numeric data
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Maximal vector computation in large data sets
VLDB '05 Proceedings of the 31st 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
Fully homomorphic encryption using ideal lattices
Proceedings of the forty-first annual ACM symposium on Theory of computing
Secure kNN computation on encrypted databases
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Enabling search services on outsourced private spatial data
The VLDB Journal — The International Journal on Very Large Data Bases
Order-preserving encryption revisited: improved security analysis and alternative solutions
CRYPTO'11 Proceedings of the 31st annual conference on Advances in cryptology
Privacy-preserving queries on encrypted data
ESORICS'06 Proceedings of the 11th European conference on Research in Computer Security
Distributed skyline processing: a trend in database research still going strong
Proceedings of the 15th International Conference on Extending Database Technology
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The advent of cloud computing redefines the traditional query processing paradigm. Whereas computational overhead and memory constraints become less prohibitive, data privacy, security, and confidentiality concerns become top priorities. In particular, as data owners outsource the management of their data to service providers, query processing over such data has more resources to tap into, yet the data oftentimes has to be encrypted so as to prevent unauthorized access. The challenge that arises in such a setting is to devise an encryption scheme that still allows for query results to be efficiently computed using the encrypted data values. An important type of query that raises unconventional requirements in terms of the operator that has to be evaluated is the skyline query, which returns a set of objects in a dataset whose values are not dominated by any other object therein. In this demonstration, we present eSkyline, a prototype system and query interface that enables the processing of skyline queries over encrypted data, even without preserving the order on each attribute as order-preserving encryption would do. Our system comprises of an encryption scheme that facilitates the evaluation of domination relationships, hence allows for state-of-the-art skyline processing algorithms to be used. The actual data values are reconstructed only at the client side, where the encryption key is known. Our demo visualizes the details of the encryption scheme, allows a user to interact with a server, and showcases the efficiency of computing skyline queries and decrypting the results.