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Cloud computing is emerging as a revolutionary computing paradigm which provides a flexible and economic strategy for data management and resource sharing. Security and privacy become major concerns in the cloud scenario, for which Searchable Encryption (SE) technology is proposed to support efficient keyword based
simple combinations of keywords, for example, disjunction of keywords. The recent breakthrough in fully homomorphic encryption has allowed us to construct arbitrary searching criteria theoretically. In this paper, we consider a new private query, which searches for documents from streaming data on the basis of keyword
is very different from the retrieval of plaintext. The traditional plaintext retrieval method is no longer suitable for the retrieval of the cipher text. In the previous fuzzy search strategy, although fuzzy keyword sets that building on keyword dictionary can realize the fuzzy search. But when the keyword set is
used for retrieving the encrypted cloud data through keywords and these techniques retrieve the files in a ranked order but they either support rank based single keyword search or multi-keyword search with static keyword dictionary. There is a greater overhead in updating the index file or the keyword dictionary when new
traditional searchable symmetric encryption schemes allow users to securely search over encrypted data through keywords and selectively retrieve files of interest without capturing any relevance of data files or search keywords, and fuzzy keyword search on encrypted data allows minor typos and format inconsistencies, secure
) based DNS query traffic from the Internet through January 17th to February 1st, 2009. (2) We found the large NS RR based DNS query traffic including only a keyword "." in the total DNS query traffic from the Internet. (3) We also found that the unique source IP address based PTR DNS traffic entropy slightly increased
. In the area of searchable encryption, many works mainly focused on search criteria consisting of a single keyword or conjunctive keywords. Up until now, searching of the exact documents that contain a phrase, or consecutive keywords still remains an unsolved problem. We first define the model of phrase search over
problem, the data won't be leaked to the others. However, no operation can be performed if data are encrypted. To overcome such problem, a cryptographic protocol called SSE-1 was proposed where SSE-1 allows user to search with keyword over encrypted data. However, it is difficult to put SSE-1 to practical use since SSE-1
Cloud computing has emerged as a new type of commercial paradigm. As a typical cloud service, each file stored in the cloud is described with several keywords. By querying the cloud with certain keywords, a user can retrieve files whose keywords match his query. An organization that has thousands of users querying the
Instant search is an emerging information-retrieval paradigm in which a system finds answers to a query instantly while a user types in keywords character-by-character. Fuzzy search further improves user search experiences by finding relevant answers with keywords similar to query keywords. A main computational
. Simultaneously, it generates a personal context-aware dictionary dynamically from the keywords gotten via some APIs in the Internet. Currently, the information of user's context is also provided by NGN. In this paper, we explain the overview of our proposal and prototype implementation in Japanese.
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