Privacy-Preserving Multi-keyword Ranked Search over Encrypted Cloud Data(2011)

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ABSTRACT

      The advent of cloud computing, data owners are motivated to outsource their complex data management systems from local sites to commercial public cloud for great flexibility and economic savings. But for protecting data privacy, sensitive data has to be encrypted before outsourcing, which obsoletes traditional data utilization based on plaintext keyword search. Thus, enabling an encrypted cloud data search service is of paramount importance. Considering the large number of data users and documents in cloud, it is crucial for the search service to allow multi-keyword query and provide result similarity ranking to meet the effective data retrieval need. Related works on searchable encryption focus on single keyword search or Boolean keyword search, and rarely differentiate the search results. In this paper, for the first time, we define and solve the challenging problem of privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE), and establish a set of strict privacy requirements for such a secure cloud data utilization system to become a reality. Among various multi-keyword semantics, we choose the efficient principle of “coordinate matching”, i.e., as many matches as possible, to capture the similarity between search query and data documents, and further use “inner product similarity” to quantitatively formalize such principle for similarity measurement. We first propose a basic MRSE scheme using secure inner product computation, and then significantly improve it to meet different privacy requirements in two levels of threat models. Thorough analysis investigating privacy and efficiency guarantees of proposed schemes is given, and experiments on the real-world dataset further show proposed schemes indeed introduce low overhead on computation and communication.

Existing System:

         The large number of data users and documents in cloud, it is crucial for the search service to allow multi-keyword query and provide result similarity ranking to meet the effective data retrieval need. The searchable encryption focuses on single keyword search or Boolean keyword search, and rarely differentiates the search results.

Disadvantage:

»       Single-keyword search without ranking

»       Boolean- keyword search without ranking

»       Single-keyword search with ranking

Proposed System:

    We define and solve the challenging problem of privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE), and establish a set of strict privacy requirements for such a secure cloud data utilization system to become a reality. Among various multi-keyword semantics, we choose the efficient principle of “coordinate matching”.

Advantage:

1.Multi-keyword ranked search over encrypted cloud data (MRSE)

2.“Coordinate matching” by inner product similarity.

MODULES

1.    Encrypt Module

2.    Client Module

3.    Multi-keyword Module

4.    Admin Module

Encrypt Module:

        This module is used to help the server to encrypt the document using RSA Algorithm and to convert the encrypted document to the Zip file with activation code and then activation code send to the user for download.

Client Module:

      This module is used to help the client to search the file using the multiple key words concept and get the accurate result list based on the user query. The user is going to select the required file and register the user details and get activation code in mail from the “customerservice404” email before enter the activation code. After user can download the Zip file and extract that file.

Multi-keyword Module:

       This module is used to help the user to get the accurate result based on the multiple keyword concepts. The users can enter the multiple words query, the server is going to split that query into a single word after search that word file in our database. Finally, display the matched word list from the database and the user gets the file from that list.

Admin Module:

        This module is used to help the server to view details and upload files with the security. Admin uses the log key to the login time. Before the admin logout, change the log key. The admin can change the password after the login and view the user downloading details and the counting of file request details on flowchart. The admin can upload the file after the conversion of the Zip file format.

SYSTEM SPECIFICATION

Hardware Requirements:

•         System                :   Pentium IV 2.4 GHz.

•         Hard Disk   :   40 GB.

•         Floppy Drive       :   1.44 Mb.

•         Monitor     :   14’ Colour Monitor.

•         Mouse                 :   Optical Mouse.

•         Ram            :   512 Mb.

•         Keyboard   :   101 Keyboard.

Software Requirements:

•         Operating system        :   Windows XP.

•         Coding Language         :   ASP.Net with C#

•         Data Base            :   SQL Server 2005.

Click here to download Privacy-Preserving Multi-keyword Ranked Search over Encrypted Cloud Data(2011) source code