PRIVACY PRESERVING

1. Privacy-Preserving Ranked
Multi-keyword Search
For Multiple Data Owners
In Cloud Computing

2. Abstract
With the advent of cloud computing, it has become increasingly popular for data owners to
outsource their data to public cloud servers while allowing data users to retrieve this data.
For privacy concerns, secure searches over encrypted cloud data has motivated several
research works under the single owner model. However, most cloud servers in practice do
not just serve one owner; instead, they support multiple owners to share the benefits
brought by cloud computing. In this paper, we propose schemes to deal with Privacy
preserving Ranked Multi-keyword Search in a Multi-owner model (PRMSM). To enable cloud
servers to perform secure search without knowing the actual data of both keywords and
trapdoors, we systematically construct a novel secure search protocol. To rank the search
results and preserve the privacy of relevance scores between keywords and files, we
propose a novel Additive Order and Privacy Preserving Function family.
To prevent the attackers from eavesdropping secret keys and pretending to be legal data
users submitting searches, we propose a novel dynamic secret key generation protocol and
a new data user authentication protocol. Furthermore, PRMSM supports efficient data user
revocation. Extensive experiments on real-world datasets confirm the efficacy and
efficiency of PRMSM.

3. 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.

4. Disadvantages of Existing System
 Single-keyword search without ranking
 Boolean- keyword search without ranking
 Single-keyword search with ranking

5. 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”.

6. Advantages of Proposed System
 Multi-keyword ranked search over encrypted cloud data (MRSE)

7. Architecture

8. Modules
 Data User Module
 Data Owner Module
 File Upload Module
 Encryption
 Rank Search Module
 File Download Module
 Decryption
 View Uploaded and Downloaded File

9. Modules Description
 Data User Module: This module include the user registration login details.
 Data Owner Module: This module helps the owner to register them details
and also include login details.
 File Upload Module: This module help the owner to upload his file with
encryption using RSA algorithm. This ensure the files to be protected from
unauthorized user.

10.  Rank Search Module: This module ensure the user to search the file that are
searched frequently using rank search.
 File Download Module: This module allows the user to download the file using his
secret key to decrypt the downloaded data.
 View Uploaded and Downloaded File: This module allows the Owner to view the
uploaded files and downloaded files

11. Minimum Hardware Configuration of the
Proposed System
 Processor : Intel/AMD
 Hard Disk : 40 GB
 Monitor : 15 VGA Colour
 Mouse : Logitech
 RAM : 1GB

12. Software Configuration of the
Proposed System
 Operating system : Windows XP/7
 Coding Language : JAVA/J2EE
 Data Base : MYSQL