Location Privacy using Homomorphic Encryption over Cloud
Автор: Alisha Rohilla, Mehak Khurana, Latika Singh
Журнал: International Journal of Computer Network and Information Security(IJCNIS) @ijcnis
Статья в выпуске: 8, 2017 года.
Бесплатный доступ
Homomorphism is a concept that allows one to perform arbitrary calculations on the cipher text. One of the application of this concept is securing one's location while one uses location based services(LBS). In this paper I have discussed an approach to preserve mobile user's location while accessing some location based service. The mobile user is trying to find the nearest locations of his interest using a mobile application. While doing so he wishes to keep his location coordinates a secret from the server. This is because, these days since servers may be maintained by a third party or a middleware might be involved. There is no scope of trusting anyone in this insecure world. Therefore, since in homomorphic encryption offers a way of making calculations on the cipher text thereby not revealing anything about the plaintext to the server, it becomes a more secure and safer choice for making a system which wants to keep the data protected from the server. Problem Statement: Implementing k-nearest neighbour algorithm while preserving user location privacy using homomorphic encryption.
Homomorphism, Additive/Multiplicative Homomorphism, Location Based Services (LBS), Cloaking region, location privacy, Paillier cryptosystem, kNN
Короткий адрес: https://sciup.org/15011875
IDR: 15011875
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