A Cloud User Anomaly Detection Method Based on Mouse Behavior

A Cloud User Anomaly Detection Method Based on Mouse Behavior

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 priva...

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Bibliographic Details
Main Authors: XU Hong-jun, ZHANG Hong, HE Wei
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2019-08-01
Series:Journal of Harbin University of Science and Technology
Subjects:
cloud security
depth learning
convolutional neural network（cnn）
operational behavior
abnormal behavior detection
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1718
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