Privacy Preserving Ranked Multi Keyword Search for Multiple Data Owners in Cloud Computing
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. Privacy Preserving Ranked Multi Keyword Search for Multiple Data Owners in Cloud Computing 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 Privacy Preserving Ranked Multi Keyword Search for Multiple Data Owners in Cloud Computing 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.
System Configuration
H/W System Configuration
Speed : 1.1 GHz
RAM : 256 MB(min)
Hard Disk : 20 GB
Floppy Drive : 1.44 MB
Key Board : Standard Windows Keyboard
Mouse : Two or Three Button Mouse
Monitor : SVGA
S/W System Configuration
Platform : cloud computing
Operating system : Windows Xp,7,
Server : WAMP/Apache
Working on : Browser Like Firefox, IE
Conclusion
In the cloud computing environment, we explore the issue of secure multi-keyword search for multiple data owners and multiple data users. Unlike previous works, our schemes enable authenticated data users to achieve secure, convenient and efficient searches over multiple data owners’ data.
