DocumentCode :
3749203
Title :
IGSK: Index Generation on Split Keyword for search over cloud data
Author :
Raghavendra S; Girish S; Geeta C M;Rajkumar Buyya; Venugopal K R;S S Iyengar;L M Patnaik
Author_Institution :
Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, India
fYear :
2015
Firstpage :
374
Lastpage :
380
Abstract :
Storage as a Service (Saas) of cloud computing has become an alternative option for data owners of various organizations to store their data into the cloud. Usually sensitive data is encrypted to achieve data security and then it is outsourced into cloud. Many traditional search schemes allow data user to search over encrypted cloud data through keywords and retrieve the files of interest selectively. In this paper, we propose an efficient approach for keyword search over encrypted cloud data. The main contribution of this paper involves index generation method for keywords by using split factor. The keywords are stored in wildcard based technique within the index tree that is stored securely with low storage cost. Extensive experimental results on real-time data sets shows that the proposed solution is effective as well as efficient in Index generation and storage cost.
Keywords :
"Cloud computing","Indexes","Keyword search","Servers","Data privacy","Encryption"
Publisher :
ieee
Conference_Titel :
Computing and Network Communications (CoCoNet), 2015 International Conference on
Type :
conf
DOI :
10.1109/CoCoNet.2015.7411213
Filename :
7411213
Link To Document :
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