Searching Encrypted Data on Cloud

نویسندگان

  • Muhammad Sajid Khan
  • Chengliang Wang
  • Ayesha Kulsoom
  • Zabeeh Ullah
چکیده

Encryption is an optimistic way to preserve the secrecy of the outsource data. On other hand, performing search operation on encrypted data is a complicated job. A lot of encryption techniques have been suggested by researchers to avoid improper usage of unstructured data on the cloud. But still by using the existing searchable encryption techniques, searching data on cloud server becomes difficult. In this paper, Data Encryption on cloud as well as corresponding security issues has been addressed. The proposed method incorporates two main phases: indexing and searching. Trapdoor and codeword are the two security parameters applicable in this technique. Simulated results demonstrate that it provides fast and efficient ranking sentence search for unstructured data in original documents on cloud server. The proposed technique reduces the overhead of decryption thereby minimizing the search time to a considerable extent.

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تاریخ انتشار 2013