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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
