With the rapid development of GPS-equipped smart mobile devices and mobile computing, location-based services (LBS) are increasing in popularity in the Internet of Things (IoT).Although LBS provide enormous benefits to users, they inevitably introduce some significant privacy concerns.To protect user privacy, a variety of location privacy-preserving schemes have been recently proposed.Among these schemes, the dummy-based location privacy-preserving glitter foam vellen action (DLP) scheme is a widely used approach to achieve location privacy for mobile users.
However, the computation cost of the existing dummy-based location privacy-preserving schemes is too high to meet the practical requirements of resource-constrained IoT devices.Moreover, the DLP scheme is inadequate to resist against an adversary with side information.Thus, how to effectively select a dummy location is still a challenge.In this paper, we propose a novel lightweight dummy-based location privacy-preserving scheme, named the enhanced dummy-based location privacy-preserving(Enhanced-DLP) to address this challenge by considering both computational costs and side information.
Specifically, the Enhanced-DLP adopts an improved greedy scheme to efficiently select dummy locations to form a k-anonymous set.A thorough security analysis demonstrated that our proposed Enhanced-DLP can protect user privacy against attacks.We performed a series of experiments to verify the effectiveness of our Enhanced-DLP.Compared with the existing scheme, the Enhanced-DLP can obtain lower computational costs for the selection of a dummy location and it can resist side information attacks.
The experimental results illustrate that the Enhanced-DLP scheme can effectively iphone 14 price arizona be applied to protect the user’s location privacy in IoT applications and services.