Q. Liu, G.-J. Wang and J. Wu, “An Efficient Privacy Preserving Keyword Search Scheme in Cloud Computing,” International Conference on Computational Science and Engineering, Vancouver, 29-31 August 2009, pp. 715-720.

has been cited by the following article:

• TITLE: K-Gram Based Fuzzy Keyword Search over Encrypted Cloud Computing

  AUTHORS: Wei Zhou, Lixi Liu, He Jing, Chi Zhang, Shaowen Yao, Shipu Wang

  KEYWORDS: K-Gram; Fuzzy Keyword; Encrypted Cloud Computing

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.6 No.1, January 30, 2013

  ABSTRACT: With recent significant development in the portable device market, cloud computing is getting more and more utilized. Many sensitive data are stored in cloud central servers. To ensure privacy, these data are usually encrypted before being uploaded—making file searching complicated. Although previous cloud computing searchable encryption schemes allow users to search encrypted data by keywords securely, these techniques only support exact keyword search and will fail if there are some spelling errors or if some morphological variants of words are used. In this paper, we provide the solution for fuzzy keyword search over encrypted cloud data. K-grams is used to produce fuzzy results. For security reasons, we use two separate servers that cannot communicate with each other. Our experiment result shows that our system is effective and scalable to handle large number of encrypted files.