Privacy considerations for cloud-based positioning

摘要: Cloud-based positioning provides better support for resource-constrained mobile devices; however, the user's location information is exposed during when computation performed on cloud. The improper exposure of could result in severe consequences that make users target fraudulent attacks. This study proposes a privacy-preserving localization scheme based homomorphic encryption techniques order to protect user privacy from both imminent attackers and untrusted cloud servers. proposed algorithm exposes unreliable only an encrypted version measurements allows be domain. prevents servers understanding computed results avoid adversary monitoring transmission log behavior. On-site experiments show feasibility our approach. domain would not affect accuracy. Experimental also requires less computational overhead achieves higher level simultaneously compared traditional approaches.