As cloud computing becomes prevalent, more and more sensitive data is being
centralized into the cloud by users. To maintain the confidentiality of
sensitive user data against untrusted servers, the data should be encrypted
before they are uploaded. However, this raises a new challenge for performing
search over the encrypted data efficiently. Although the existing searchable
encryption schemes allow a user to search the encrypted data with
confidentiality, these solutions cannot support the verifiability of
searching result. We argue that a cloud server may be selfish in order to
save its computation ability or bandwidth. For example, it may execute only a
fraction of the search and returns part of the searching result. In this
paper, we propose a new verifiable fuzzy keyword search scheme based on the
symbol-tree which not only supports the fuzzy keyword search, but also enjoys
the verifiability of the searching result. Through rigorous security and
efficiency analysis, we show that our proposed scheme is secure under the
proposed model, while correctly and efficiently realizing the verifiable
fuzzy keyword search. The extensive experimental results demonstrate the
efficiency of the proposed scheme.
Optimal Integrity Policy for Encrypted Data in Secure Storage using Cloud Computing