DocumentCode :
1709181
Title :
An Efficient Conjunctive Keyword and Phase Search Scheme for Encrypted Cloud Storage Systems
Author :
Hoi Ting Poon ; Miri, Ali
Author_Institution :
Dept. of Comput. Sci., Ryerson Univ., Toronto, ON, Canada
fYear :
2015
Firstpage :
508
Lastpage :
515
Abstract :
There have been increasing interest in the area of privacy-protected searching as industries continue to adopt cloud technologies. Much of the recent efforts have been towards incorporating more advanced searching techniques. Although many have proposed solutions for conjunctive keyword search, it is only recently that researchers began exploring phrase search over encrypted data. In this paper, we present a scheme that incorporates both functionalities. Our solution makes use of symmetric encryption, which provides computational and storage efficiency over schemes based on public key encryption. By considering the statistical properties of natural languages, we were able to design indexes that significantly reduce storage cost when compared to existing solutions. Our solution allows for simple ranking of results and requires a low storage cost while providing document and keyword security. By using both the index and the encrypted documents to performs searches, our scheme is also currently the only phrase search scheme capable of searching for non-indexed keywords.
Keywords :
cloud computing; data protection; natural language processing; public key cryptography; storage management; advanced searching techniques; cloud technology; conjunctive keyword search; encrypted cloud storage systems; keyword security; natural languages; phase search scheme; privacy-protected searching; public key encryption; statistical property; storage cost reduction; symmetric encryption; Cloud computing; Encryption; Indexes; Keyword search; Servers; Conjunctive keyword search; Encryption; Phrase search; Privacy; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
Conference_Location :
New York City, NY
Print_ISBN :
978-1-4673-7286-2
Type :
conf
DOI :
10.1109/CLOUD.2015.74
Filename :
7214084
Link To Document :
بازگشت