Abstract: Cloud computing is a technology that provides the processing huge amount of data which depend on sharing computing resources like networks, servers, storage, applications, and services. The end-to-end location privacy has been neglecting in the field of cloud computing. Location privacy deals with the hide the location of source and high end server from the hackers by providing those fake locations so that hackers can utilize their maximum time to search the fake location instead of original location of source and destination or high end server. This dissertation has focus on various end-to-end location privacy techniques like forward random walk, bidirectional tree, dynamic bidirectional tree and zigzag bidirectional tree that can be applied in cloud computing. The paper has shown that the location privacy is required for cloud computing environment especially for public clouds network because user used to store his or her critical data on the cloud so cloud security is essential issue in the cloud computing.
Keywords: Cloud Computing, Location Privacy, Location Privacy Techniques and Algorithms, Types of Cloud.
Title: Improved Data Centers Privacy Using End-to-End Location Privacy on Cloud Environment
Author: Khushwant Virdi, Anil Kumar
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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