A Novel Approach for Location Privacy Preservation of Clusters

A Novel Approach for Location Privacy Preservation of Clusters

Nayan Prakash1 , Rishu Raj2,Riya Gothi3 ,Sahil Singh4,Dr.Rashmi Amardeep5
Department of ISE,DSATM BANGALORE,INDIA

Abstract:
Location privacy is one of the burning issues in respect of the LBS and other services, since there are several risks of data leakage happening all over the world as well as the location data leakage is also happening. Withthe increment of these data breaches several advertisements and bad cyber crime happens with different person. To solve these issues and to secure the location privacy as well as location data hiding we have applied k- anonymity algorithm to anonymise the data sets so that the location information of users will hide themselves. The aim of our paper is to demonstrate the novel approach for location privacy preservation using machine learning and deep learning algorithms applicable on various parameters as well as on various data sets. We have applied L diversity and T closeness for the same so that we make sure about the protection of the individual stored data dets as well at the same time.