Two Level Based Privacy Protection Approach for Internet of Things Users in Cloud Computing

Recently, privacy protection in IoT received high attention to protect the personal information of the users. The risks that threaten the privacy of IoT users maybe happened at the data stored on the server of the cloud or at the queries sent by the users, where analysis could be applied by an attacker. With this paper, we propose a double level-based approach in order to protect the privacy of IoT users. We acted at the level of the server, where anonymity based component is installed on the server to protect the query. In addition, we acted with the user machine level, where a transform technique is used in order to ensure the privacy of the location of the IoT users. Our approach gave better performance compared to previous approaches.