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- W3193877095 abstract "Nowadays numbers of users outsource their data to the cloud. To give the security for data, the data should be encrypted before sending it to cloud because it becomes difficult for the hacker to hack the data which is in encrypted format. For example, it is hard to seek the catchphrases in encoded sets. Various plans are proposed to make mixed data open reliant on catchphrases. In any case, catchphrase based look for plans disregard the semantic depiction information of customer’s recuperation and can’t thoroughly meet with customers look desire. In this manner, how to design a content-based interest plan and make semantic chase continuously reasonable and context-aware is a hard test. Here the proposed system uses, two cloud servers, one is used to store the re-appropriated datasets and return the situated results to data customers. The other one is used to figure the scores between the reports and the query and send the scores to the essential server. To also improve the look viability, we utilize a tree-based document structure to deal with all the file record vectors. The multi-keyword situated look for over encoded cloud data is used as the basic edge to propose two secure plans. The examination results subject to this present reality datasets show that the arrangement is more gainful than past plans. More over it shows that the arrangements are secure under the known cipher text model and the background model." @default.
- W3193877095 created "2021-08-30" @default.
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- W3193877095 date "2019-03-01" @default.
- W3193877095 modified "2023-09-26" @default.
- W3193877095 title "SEMANTIC CONSCIOUS LOOKING OVER ENCODED INFORMATION FOR DISTRIBUTED COMPUTING" @default.
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