Identity-Based Encryption from the Weil Pairing
SIAM Journal on Computing
Practical Techniques for Searches on Encrypted Data
SP '00 Proceedings of the 2000 IEEE Symposium on Security and Privacy
The dual receiver cryptosystem and its applications
Proceedings of the 11th ACM conference on Computer and communications security
Multi-Dimensional Range Query over Encrypted Data
SP '07 Proceedings of the 2007 IEEE Symposium on Security and Privacy
netWorker - Cloud computing: PC functions move onto the web
An Efficient Privacy Preserving Keyword Search Scheme in Cloud Computing
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 02
Conjunctive, subset, and range queries on encrypted data
TCC'07 Proceedings of the 4th conference on Theory of cryptography
An efficient identity-based key exchange protocol with KGS forward secrecy for low-power devices
WINE'05 Proceedings of the First international conference on Internet and Network Economics
Privacy preserving keyword searches on remote encrypted data
ACNS'05 Proceedings of the Third international conference on Applied Cryptography and Network Security
Editorial: Special issue on trusted computing and communications
Journal of Network and Computer Applications
A framework for preservation of cloud users' data privacy using dynamic reconstruction of metadata
Journal of Network and Computer Applications
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Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Cloud storage services enable users to remotely access data in a cloud anytime and anywhere, using any device, in a pay-as-you-go manner. Moving data into a cloud offers great convenience to users since they do not have to care about the large capital investment in both the deployment and management of the hardware infrastructures. However, allowing a cloud service provider (CSP), whose purpose is mainly for making a profit, to take the custody of sensitive data, raises underlying security and privacy issues. To keep user data confidential against an untrusted CSP, a natural way is to apply cryptographic approaches, by disclosing the data decryption key only to authorized users. However, when a user wants to retrieve files containing certain keywords using a thin client, the adopted encryption system should not only support keyword searching over encrypted data, but also provide high performance. In this paper, we investigate the characteristics of cloud storage services and propose a secure and privacy preserving keyword searching (SPKS) scheme, which allows the CSP to participate in the decipherment, and to return only files containing certain keywords specified by the users, so as to reduce both the computational and communication overhead in decryption for users, on the condition of preserving user data privacy and user querying privacy. Performance analysis shows that the SPKS scheme is applicable to a cloud environment.