Space/time trade-offs in hash coding with allowable errors
Communications of the ACM
Relations Among Notions of Security for Public-Key Encryption Schemes
CRYPTO '98 Proceedings of the 18th Annual International Cryptology Conference on Advances in Cryptology
Order preserving encryption for numeric data
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Multi-Dimensional Range Query over Encrypted Data
SP '07 Proceedings of the 2007 IEEE Symposium on Security and Privacy
Protocols for secure computations
SFCS '82 Proceedings of the 23rd Annual Symposium on Foundations of Computer Science
Order-Preserving Symmetric Encryption
EUROCRYPT '09 Proceedings of the 28th Annual International Conference on Advances in Cryptology: the Theory and Applications of Cryptographic Techniques
Hey, you, get off of my cloud: exploring information leakage in third-party compute clouds
Proceedings of the 16th ACM conference on Computer and communications security
Conjunctive, subset, and range queries on encrypted data
TCC'07 Proceedings of the 4th conference on Theory of cryptography
Public-key encryption with registered keyword search
EuroPKI'09 Proceedings of the 6th European conference on Public key infrastructures, services and applications
Order-preserving encryption revisited: improved security analysis and alternative solutions
CRYPTO'11 Proceedings of the 31st annual conference on Advances in cryptology
Secure and Fast Aggregation of Financial Data in Cloud-Based Expense Tracking Applications
Journal of Network and Systems Management
| Hi-index | 0.00 |
To cater to the privacy requirements in cloud computing, we introduce a new primitive, namely Privacy Preserving Mapping (PPM) schemes supporting comparison. An PPM scheme enables a user to map data items into images in such a way that, with a set of images, any entity can determine the relationships among the corresponding data items. We propose three privacy notions, namely ideal privacy, level-1 privacy, and level-2 privacy, and three constructions satisfying these privacy notions respectively.