DocumentCode :
244560
Title :
Efficient semantic search over encrypted data in cloud computing
Author :
Teng-Sheng Moh ; Kam Ho Ho
Author_Institution :
Dept. of Comput. Sci., San Jose State Univ., San Jose, CA, USA
fYear :
2014
fDate :
21-25 July 2014
Firstpage :
382
Lastpage :
390
Abstract :
Cloud storage has become more and more popular as it provides many benefits over traditional storage solutions. Despite the many benefits provided by cloud storage, many security problems have also arisen in cloud storage, which prevents companies from migrating their data to cloud storage. As a result, the owners encrypt their sensitive data before storing it in cloud storage. While encryption increases the security of the data, it also reduces the searchability of the data and thus, the efficiency of the search. Recently, research has been done on several schemes which enable keyword searching on encrypted data in cloud computing. However, these schemes contain weaknesses which make them impractical when applied to real-life scenarios. In this paper, we developed a system to support semantic search on encrypted data in cloud computing with three different schemes which are “Synonym-Based Keyword Search (SBKS)”, “Wikipedia-Based Keyword Search (WBKS)”, and “Wikipedia-Based Synonym Keyword Search (WBSKS)”. Our results demonstrated that our schemes are more efficient in terms of performance and storage requirements than the former proposed schemes. Therefore, our developed schemes are more practical than the former proposed schemes.
Keywords :
cloud computing; cryptography; information retrieval; storage management; SBKS; WBKS; WBSKS; Wikipedia-based keyword search; Wikipedia-based synonym keyword search; cloud computing; cloud storage; data searchability; encrypted data; security problems; semantic search; storage requirements; synonym-based keyword search; Cloud computing; Cryptography; Electronic publishing; Encyclopedias; Indexes; Servers; cloud storage; encrypted cloud data; keyword search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing & Simulation (HPCS), 2014 International Conference on
Conference_Location :
Bologna
Print_ISBN :
978-1-4799-5312-7
Type :
conf
DOI :
10.1109/HPCSim.2014.6903711
Filename :
6903711
Link To Document :
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