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Increase in application of mobile robots and the annual growth of robotics industry, cyber security is essential for robot system to ensure the security of human daily life. Cyber‐ attacks such as fault data injection (FDI) or data scoping critically affects the safety of robot systems especially for those which requires continuous supervision or the monitoring of the system operation. As an example, failure to prevent attacks such as (FDI) attacks for autonomous vehicle operation may result in severe death related road accidents. In this research, an algorithm combining the extended Karman filter and the model‐based cumulative sum detection algorithm to detect the FDI attack is introduced. Validation of the proposed detection algorithm is tested through ROS (Robot Operating System) ‐Gazebo simulator using actual GPS data obtained from a pioneer 3‐AT robot. A future development of this research is to test the algorithm on an actual pioneer 3‐AT robot and extend its application to wider systems such as autonomous vehicles.