Implementation of Privacy-Preserved Personalized Web Search based on Fully Homomorphic Encryption over Integers  
  Authors : Akhila G S; Prasanth R S

 

Using Personalized Web Search (PWS) we can improve the quality of search results in the Internet. The existing UPS based Personalized Web Searching has many drawbacks. First, there may be a chance of eavesdropping when generalized profile forwarded to the server. Second, web server is vulnerable to web attacks like URL manipulation attacks. The impact of these attacks will affect user’s personal information. So we introduce a new framework called UPES. Here, the data stored in the serverside and request from user will be in encrypted form. Fully Homomorphic Encryption over Integers (FHEI) is used for encrypting data. The experimental results show that this framework functioned in the best possible manner with the least waste of time and effort.

 

Published In : IJCAT Journal Volume 2, Issue 8

Date of Publication : August 2015

Pages : 307 - 314

Figures :08

Tables : 04

Publication Link :Implementation of Privacy-Preserved Personalized Web Search based on Fully Homomorphic Encryption over Integers

 

 

 

Akhila G S : Department of Computer Science and Engineering, Mohandas College of Engineering and Technology, Anad Thiruvananthapuaram, Kerala 695544, India

Prasanth R S : Assistant Professor, Department of Computer Science and Engineering, Mohandas College of Engineering and Technology, Anad Thiruvananthapuaram, Kerala 695544, India

 

 

 

 

 

 

 

Personalized Web Search

UPS

User Profile

Generalized User Profile

FHEI

This thesis work provides a client-side and server-side privacy protection framework called UPES for personalized web search. In UPES, the server must automatically protect the users’ privacy without customizing privacy requirements by the user. Because, here we applies Homomorphic encryption when request sent to the server. So there is no problem occurs when an eavesdropper gets this request. Since the encrypted data are stored at server, we can protect web server from all types of web attacks like URL manipulation attacks, trial and error attacks, etc. Besides this encryption, we also provide an authentication for server to protect it from attacks. Here, users’ neither registers their personal information’s nor customizes their privacy requirements. Thus using this framework, we can completely protect client-side and server-side privacy. The experimental results show that this technique functioned in the best possible manner with the least waste of time and effort.

 

 

 

 

 

 

 

 

 

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