New Techniques for Private Stream Searching
ACM Transactions on Information and System Security (TISSEC)
Privacy-preserving similarity-based text retrieval
ACM Transactions on Internet Technology (TOIT)
Conjunctive, subset, and range queries on encrypted data
TCC'07 Proceedings of the 4th conference on Theory of cryptography
Space-efficient private search with applications to rateless codes
FC'07/USEC'07 Proceedings of the 11th International Conference on Financial cryptography and 1st International conference on Usable Security
Embellishing text search queries to protect user privacy
Proceedings of the VLDB Endowment
Private searching for single and conjunctive keywords on streaming data
Proceedings of the 10th annual ACM workshop on Privacy in the electronic society
Cooperative private searching in clouds
Journal of Parallel and Distributed Computing
DJoin: differentially private join queries over distributed databases
OSDI'12 Proceedings of the 10th USENIX conference on Operating Systems Design and Implementation
Verifiable and private top-k monitoring
Proceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security
Generalized external interaction with tamper-resistant hardware with bounded information leakage
Proceedings of the 2013 ACM workshop on Cloud computing security workshop
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A system for private stream searching allows a client to retrieve documents matching some search criteria from a remote server while the server evaluating the request remains provably oblivious to the search criteria. In this extended abstract, we give a high level outline of a new scheme for this problem and an experimental analysis of its scalability. The new scheme is highly efficient in practice. We demonstrate the practical applicability of the scheme by considering its performance in the demanding scenario of providing a privacy preserving version of the Google News Alerts service.