Title :
Character-based search with data confidentiality in the clouds
Author :
Maheshwari, V. ; Nourian, Arash ; Maheswaran, Muthucumaru
Author_Institution :
Sch. of Comput. Sci., McGill Univ., Montreal, QC, Canada
Abstract :
Recently, searching over encrypted data has become a hot research topic. Basic idea of privacy enhanced search is to generate an intermediate representation of the original text data and use it to perform the search. Prior research has used hash maps, tries, and other data structures to create the intermediate representation. We use a texture scheme for representing the characters. To enhance the privacy the textures are split and noise is added to each of the portions such that all portions of a texture needs to be collected to recover the original data in an unambiguous manner. One of the key advantages of our scheme is the ability to implement most of the search schemes (e.g., wildcard searches) that are performed with plain text searches. This paper fully describes our data representation scheme and presents the experimental data we gathered by implementing the scheme in a server cluster.
Keywords :
character recognition; cloud computing; cryptography; data privacy; data structures; image retrieval; image texture; information retrieval; text analysis; character-based search; clouds; data confidentiality; data encryption; data structures; hash maps; intermediate text data representation; plain text searches; privacy enhanced search; server cluster; texture privacy; texture scheme; Cloud computing; Cryptography; Gaussian noise; Noise measurement; PSNR; cloud computing; cloud security; data confidentiality; data obfuscation; keyword search;
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-4511-8
Electronic_ISBN :
978-1-4673-4509-5
DOI :
10.1109/CloudCom.2012.6427591