IMPLEMENTING PERSONALIZED WEB SEARCHING MODEL FOR SECURE AND PRIVATE SEARCHING

Due to tremendous increase in the use of internet searching, and along with this the rate of hacker or shoulder surfing attack the privacy protection is very important to preserve user search behaviors and their profiles. In this paper, we have performed the personalized web searching using UPS framework. This performs searching on the web browser and at the same time it stores the individual searching results privately in our own searching records only. This make our system much more secure as our own searching records history is visible to only us and not by any other, instead of they are using the same system. In this paper, we have given our own work of performing personalized web searching. By analyzing the results, we reveal that in our personalized Web searching, several features to automatically predict when a query will benefit from a specific personalization technique. Experimental results show that using a personalization techniques for queries to search selected by our prediction model is better and more secure than using it simply for all queries.