An Efficient Privacy-Preserving Ranked Keyword Search Method

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An Efficient Privacy-Preserving Ranked Keyword Search Method

An Efficient Privacy-Preserving Ranked Keyword Search Method

Abstract

Cloud data owners prefer to outsource documents in an encrypted form for privacy conservation purposes. An Efficient Privacy-Preserving Ranked Keyword Search Method is therefore essential to develop effective and reliable ciphertext search techniques. The data volume in data centers has also experienced dramatic growth. This will make it even more challenging to design ciphertext search schemes that can provide efficient and reliable online retrieval of information on large volumes of encrypted data. This An Efficient Privacy-Preserving Ranked Keyword Search Method approach can reach linear computational complexity in the search phase against an exponential size increase in document collection. The results show that the search time of the proposed method increases linearly with a sharp increase in documents in the dataset, while the search time of the traditional method increases exponentially.

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
An Efficient Privacy-Preserving Ranked Keyword Search Method

Conclusion

The problem of maintaining the semantic relationship between different plain documents has been explored and given the method of design to enhance semantic search performance. MRSE-HCI architecture was proposed to adapt to data explosion requirements, online information retrieval and semantic search.