Aiming at the problem of cloud security threat caused by illegal operation of cloud users

this paper proposes a method to detect the abnormal behavior of cloud users by analyzing the mouse operation behavior in user’s work by using deep learning technology under the premise of ensuring the privacy of cloud users. Firstly

the mouse track tool is used to record the trajectory of the user’s basic mouse operation within a certain period of time. Then

the convolution neural network is used to learn and classify the recorded trajectories. The experimental results show that the proposed method can effectively detect abnormal behavior of users under the precondition of ensuring user privacy

meanwhile

it can avoid the analysis and processing of high dimensional feature data and reduce the difficulty of abnormal behavior detection.