With the continuous development of cloud computing, cloud security has become one of the most important issues in cloud\ncomputing. For example, data stored in the cloud platformmay be attacked, and its security is difficult to be guaranteed.Therefore,\nwe must attach weight to the issue of how to protect the data stored in the cloud. To protect data, data monitoring is a necessary\nprocess. Based on autonomic computing, we develop a cloud datamonitoring systemon the cloud platform,monitoringwhether the\ndata is abnormal in the cycle and analyzing the security of the data according to the monitored results. In this paper, the feasibility\nof the scheme can be verified through simulation. The results show that the proposed method can adapt to the dynamic change of\ncloud platformload, and it can also accurately evaluate the degree of abnormal data.Meanwhile, by adjustingmonitoring frequency\nautomatically, it improves the accuracy and timeliness of monitoring. Furthermore, it can reduce themonitoring cost of the system\nin normal operation process.
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