Privacy Preserving in LBS Resilient to Location Injection Attacks
M. Anuradha1, R. Srikanth2, Y. Rama Devi3
1M. Anuradha, Pursuing M.Tech, Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad (Telangana), India.
2Srikanth R, Assistant Professor, Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad (Telangana), India.
3Dr. Y Rama Devi, Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad (Telangana), India.
Manuscript received on 19 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3621-3625 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B14540982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1454.0982S1119
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Location-based services have become indispensable in people’s life with expeditious development of technology. Location-based services(LBS) refers to the services provided by the LBS servers with regards to area and point of interest. Alternatively, the LBS means getting the right information at the right place in time. Protecting user location privacy is the most challenging factor in LBS. This survey aims to present various mechanisms in preserving the user’s location privacy and proposes a mechanism for preserving the privacy of user location and query against the location injection attacks. We will be discussing credibility based k- anonymity mechanism for preserving the location of the user and homomorphic encryption for preserving the query of the user resilient location injection attacks in this paper.
Keywords: Location Privacy Information Encryption.
Scope of the Article: Security and Privacy