چكيده به لاتين
In today's world, due to the high volume of information being transmitted among users, the use of location-based services is increasing. One of the problems with using location-based services is the privacy of the users, especially the privacy of the Trajectory, as the user sends personal information such as location and name (Identity) to an unreliable server to access the resources, this can compromise user privacy. There are many algorithms and methods currently used to provide security for users of these services, each with its own advantages and disadvantages. Our goal in this research is to provide new ways to overcome the weaknesses of existing methods and to help protect user privacy at the lowest cost. In this research, using new methods in applying algorithms to create dummies, we try to solve the problems and weaknesses of existing methods. Also by reducing the processing load to the network edge, we will reduce the processing load of positioning and privacy in this way we can protect our privacy even more. The innovation of this method is that the adversary cannot gain access to the user's position using prior knowledge. In this method, instead of considering a random dummy trajectory we use a rotational algorithm to generate dummy trajectories, which results in eliminating inaccessible trajectory points so the adversary cannot eliminate them on his own.