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.
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