Abstract:

Objective- In emerging information networks, it is crucially important to provide efficient search on distributed documents while preserving their owners privacy, for which privacy preserving indexes or PPI presents a possible solution. An understudied problem for the PPI techniques is how to provide differentiated privacy preservation in the presence of multi-keyword document search.

Design / Methodology/ Approach-   To develop a web server which is the main server used, then there is a database for storing the Key-word in the encrypted format and finally to provide the distributed document search with quantitatively differentiated privacy preservation.

Findings- It consist of three sections. First main step is the multi-keyword generation. The client data is modified by eliminating common words by selecting specific words. The keywords are encrypted with public key and shows in database. When the third party searches data with a multi-keyword. The multi-keyword is encrypted and it is searched in database. If it is matched during comparison then the search will be success, but if the search is success then also it will not retrieve data. It only notifies the data is present. It maintains the privacy by using clients own private key. The data only decrypted by client with its own private key.

Limitations- Search process is efficient, but it takes time to search the document and it has to be  taken into consideration.

Practical implications- This paper is very helpful for those who require their data to be kept in more privacy and it can be search efficiently.

Originality/Value- This will help in improving the efficiency of the searching process by maintaining reliability in data storage of client.

Keywords- Privacy, information networks, secure multi-party computations, indexing