All-or-nothing disclosure of secrets
Proceedings on Advances in cryptology---CRYPTO '86
Software protection and simulation on oblivious RAMs
Journal of the ACM (JACM)
Protecting data privacy in private information retrieval schemes
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
Reaction Attacks against several Public-Key Cryptosystems
ICICS '99 Proceedings of the Second International Conference on Information and Communication Security
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Replication is not needed: single database, computationally-private information retrieval
FOCS '97 Proceedings of the 38th Annual Symposium on Foundations of Computer Science
Practical Techniques for Searches on Encrypted Data
SP '00 Proceedings of the 2000 IEEE Symposium on Security and Privacy
Journal of Complexity - Special issue on coding and cryptography
Searchable symmetric encryption: improved definitions and efficient constructions
Proceedings of the 13th ACM conference on Computer and communications security
Introduction to Modern Cryptography (Chapman & Hall/Crc Cryptography and Network Security Series)
Introduction to Modern Cryptography (Chapman & Hall/Crc Cryptography and Network Security Series)
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
A comparison of approaches to large-scale data analysis
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Computationally private information retrieval with polylogarithmic communication
EUROCRYPT'99 Proceedings of the 17th international conference on Theory and application of cryptographic techniques
A survey of single-database private information retrieval: techniques and applications
PKC'07 Proceedings of the 10th international conference on Practice and theory in public-key cryptography
Public key encryption that allows PIR queries
CRYPTO'07 Proceedings of the 27th annual international cryptology conference on Advances in cryptology
The performance of MapReduce: an in-depth study
Proceedings of the VLDB Endowment
Efficient computationally private information retrieval from anonymity or trapdoor groups
ISC'10 Proceedings of the 13th international conference on Information security
Privacy preserving keyword searches on remote encrypted data
ACNS'05 Proceedings of the Third international conference on Applied Cryptography and Network Security
Private searching on streaming data
CRYPTO'05 Proceedings of the 25th annual international conference on Advances in Cryptology
Genodroid: are privacy-preserving genomic tests ready for prime time?
Proceedings of the 2012 ACM workshop on Privacy in the electronic society
Secure genomic testing with size- and position-hiding private substring matching
Proceedings of the 12th ACM workshop on Workshop on privacy in the electronic society
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We present PRISM, a privacy-preserving scheme for word search in cloud computing. In the face of a curious cloud provider, the main challenge is to design a scheme that achieves privacy while preserving the efficiency of cloud computing. Solutions from related research, like encrypted keyword search or Private Information Retrieval (PIR), fall short of meeting real-world cloud requirements and are impractical. PRISM 's idea is to transform the problem of word search into a set of parallel instances of PIR on small datasets. Each PIR instance on a small dataset is efficiently solved by a node in the cloud during the "Map" phase of MapReduce. Outcomes of map computations are then aggregated during the "Reduce" phase. Due to the linearity of PRISM, the simple aggregation of map results yields the final output of the word search operation. We have implemented PRISM on Hadoop MapReduce and evaluated its efficiency using real-world DNS logs. PRISM's overhead over non-private search is only 11%. Thus, PRISM offers privacy-preserving search that meets cloud computing efficiency requirements. Moreover, PRISM is compatible with standard MapReduce, not requiring any change to the interface or infrastructure.