Design and Implementation of Anomaly Detection System for Cloud Platform Based on Multiple Attribute Information
Yu Yong-Wu
Progress in Machines and Systems, Vol. 6, No. 2, 2017.
DOI: 
Link: http://www.dline.info/pms/fulltext/v6n2/pmsv6n2_3.pdf
Abstract:
With the rapid development of computer, people are increasingly demanding the quality of the mainstream
cloud platform which is main forms of computer industry. In cloud monitoring system, picking up information, monitoring
data anomalies, abnormal transmission and alarm should be vigilant. By studying the theory of cloud platform monitoring
technology, this paper uses FASTMASOD algorithm to design the node machine, and uses the host computer to test the
anomaly detection system of cloud platform in the context of multi-attribute information. Finally, the ROC curve is used to
verify the effect of the algorithm in the anomaly detection system. The research of this paper not only lays a theoretical
foundation for the anomaly detection of multi-attribute information, but also has very important significance to the research
of cloud platform.