Privacy-preserving proof-of-location using homomorphic encryption
Abstract: Location-based software services require knowledge about a user's geographic data. Sharing these data risks compromising the user's privacy, exposes the user to targeted marketing, and enables potentially undesired behavioural profiling. Today, there exist several privacy-preserving proof-of-location solutions. However, these solutions often rely on a trusted third party, which reduces a user's control of their own data, or feature novel encryption schemes that may contain yet undiscovered security vulnerabilities. This thesis adopts a generic homomorphic encryption scheme and presents a way of generating location proofs without a user having to reveal their location.
AT THIS PAGE YOU CAN DOWNLOAD THE WHOLE ESSAY. (follow the link to the next page)