Trusted Validation for Geolocation of Cloud Data
Dong Lai Fu, Xin Guang Peng, Yang Yu · The Computer Journal · 2014
It is certain that cloud users are eager to ascertain where their sensitive data are stored. Misplacing the data probably divulges secret information. Therefore, researchers have designed mechanisms of geolocation of cloud data to allow cloud users to get geolocation of cloud data. However, to seek an approach to seeing through frauds is still a challenge. Trusted computing technology offers an alternative. The current study endeavors to construct the method through combining the technology with established geolocation techniques of Internet hosts thoroughly. Our work is complementary to Gondree and Peterson's recent contributions in which a constraint-based cloud data geolocation solution is present. The current scheme offers a strong validation of geolocation of cloud data, and can see through deceits. In the scheme, we leverage an un-clonable and tamper-proof device, Trusted Platform Module, which guarantees that cloud users can collect authentic geolocation evidences. We evaluate the original idea using a wide range of experiments. Results demonstrate that the scheme is feasible, and has a satisfactory performance in the city-level accuracy.