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- Title
A Searchable Ciphertext Retrieval Method Based on Counting Bloom Filter over Cloud Encrypted Data.
- Authors
Kuang YueJuan; Li Yong; Li Ping
- Abstract
As we all known that it is difficult to retrieve the ciphertext on cloud environment, that the existing searchable encryption schemes have low efficiency in time, and that the file retrieval index does not support updating and the retrieval results cannot be sorted by accuracy. In view of these problems, in this paper, we firstly construct the index of document retrieval based on counting bloom filter, and map the keyword hash in the file set to the counting bloom filter index vector so that the retrieval of ciphertext by keyword is achieved. And, at the same time, it supports the dynamic update on retrieval index of the file. Secondly, the sorting of the retrieval results according to the relevancy degree cannot be achieved owing to the counting bloom filter itself does not have the semantic function. We introduce the key words frequency matrix and TF-IDF model to calculate the relevancy scores of key words in order to sort the search results according to the relevance scores. Finally, we prove the security, updatability, sorting capability and time efficiency of the method mentioned in this paper from the aspects of theoretical and experimental performance analysis.
- Subjects
INFORMATION retrieval; KEYWORDS; WORD frequency; FILTERS &; filtration
- Publication
IAENG International Journal of Computer Science, 2020, Vol 47, Issue 2, p1
- ISSN
1819-656X
- Publication type
Article