A privacy preserving location service for cloud-of-things system

摘要: Abstract The natural characteristics of Location Based Services (LBS) cause potential threats to location privacy. Users need send their current locations get the service, which may lead leakage An effective way protect user’s privacy is use an imprecise and this region Cloud-of-things system replace his real location. When user moves sends continuous queries, needs transmit server continuously attacker able infer from overlapping regions. In paper, we propose a novel pre-protection method for cloud-of things preserve trajectory User’s moving behaviors are analyzed through Mobility Markov chain. proposed cloaking algorithm enlarges small area satisfy requirements, so that in environment cloud-of-things addressed efficiently. Experimental results show performance our terms number steps, threshold value, addition chosen anonymity value.