Data Structures and Algorithms


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 server-side 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.

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Submission history

[v1] 2015-09-18 03:45:27

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